Mattermost implementation plan and cost

What a Mattermost implementation plan and cost depends on

If you are replacing an existing messaging tool or adding one for a new group, the decision you face is whether your own team builds the Mattermost platform or a partner joins the work. The scope and cost depend on six things: the deployment method, the PostgreSQL and file storage design, the SSO integration, the team and channel structure, the integrations you must keep, and how the pilot is run. Those six choices set the number of days of effort, the infrastructure you pay for, and the number of people who must sign off before go-live.

Most organizations start this planning for a specific reason. A Slack or Rocket.Chat exit is common, as is a data residency requirement that keeps conversations and attachments inside a defined region or network. An identity mandate, such as a rule that every application must authenticate against the corporate directory, or a new self-hosted standard set by a platform or security group, can also trigger the project. Each trigger changes which of the six choices is hardest. A residency rule pushes storage and hosting decisions to the front. An identity mandate pushes SSO and provisioning there instead.

Many teams that already run Linux servers or container platforms keep the platform work in-house. The core server is a single Linux binary that uses PostgreSQL, so a basic installation is a small job for an experienced operations team. Teams in that position often still buy help for three areas: the architecture review, the identity integration, and the cutover from the old tool. Those are the areas where a mistake is expensive to undo, and where the people who know the platform's edge cases can save weeks. Ask any partner to separate these tasks in the quote so you can compare them with your own staffing.

Read the edition requirements before you size the work. The core server installs without a license key, but high availability clustering and FIPS 140-3 compliance are tied to the Enterprise plan, and air-gapped operation is tied to Enterprise Advanced, according to Mattermost's pricing page. SSO and AD/LDAP user sync appear from the Professional plan. Confirm these inclusions with Mattermost sales before you commit to an architecture, because a cluster design that needs a higher plan changes both the license cost and the scope of the implementation.

Ask every bidder for a written scope that lists the deployment target, the database and file storage design, the identity provider and provisioning method, the number of channels and teams to create, the integrations to rebuild, the pilot group size and exit criteria, and the post-go-live support period. Ask which items are fixed and which are priced as time and materials, and which costs recur, such as subscription seats, hosting, and support retainers. A fixed-scope quote makes comparisons fair, and it shows where your own team's effort is still needed.

What a Mattermost implementation includes and what you receive

A Mattermost rollout is a sequence of linked work packages, each of which sets a decision the next one depends on. The cards below list what the scope usually covers and what you keep at handover. The exact scope, deliverables and timeline are agreed in writing before work starts.

Requirements and architecture decision record

This package fixes the user count, the deployment target, the identity provider, the data residency rules and the plan edition that the rest of the work depends on. The output is an architecture decision record that names each choice and the reason for it. Check that the record covers whether high availability is needed, because that requirement determines the license tier and the file storage design.

Environment build on Linux or Kubernetes

The environment is built on Linux or in containers, with Kubernetes used only if your platform team already runs it and has chosen it. Mattermost runs as a single Linux binary with PostgreSQL as its database, so the build covers hosts or clusters, networking, the reverse proxy and TLS. Confirm who owns the base images, the patching cycle and the change process for the hosts before the build starts.

PostgreSQL and file storage configuration

This package configures the PostgreSQL database, its backups and its connection settings, and the file storage that holds message attachments. The storage choice drives the design: a cluster needs shared storage on Amazon S3, an S3-compatible service or NAS mounted on every node, because local file system storage can corrupt files. Ask who provides the database and storage services and who restores them.

SSO and identity provider setup

SSO is configured against your identity provider using the protocol you choose, such as SAML or OpenID Connect, and user sync is set up where your plan includes it. The work covers attribute mapping, login and logout behavior and the test accounts used to prove access. Confirm which identity provider and protocol are in scope, because the plan edition determines whether SSO and AD or LDAP sync are included.

Team, channel and integration setup

This package defines the team and channel structure, the naming rules, the default membership and the permissions that govern who can create and archive channels. It also connects the bots, webhooks and integrations your teams need on day one. Agree the list of integrations in the scope, since custom integrations and plugins add build, test and upgrade effort over time.

Security baseline, pilot and cutover

The security baseline covers TLS, session and authentication settings, data retention and audit logging, applied before any user logs in. A pilot group then tests the configuration, and the pilot results decide the production cutover plan. Ask for the pilot exit criteria in writing, and agree who signs off the cutover and who handles rollback if it is needed.

Which factors raise Mattermost implementation cost and duration

This table lists the factors that change the effort of a Mattermost rollout, why each one matters, and how to keep it under control. Use it to see which decisions in your scope move the quote and which can be fixed early to limit rework.

Driver	Why it changes the work	How to keep it down
User count and concurrency	Concurrent users drive sizing of application servers, database capacity and whether read or search replicas are needed. Sizing is confirmed by load testing, not by seat count alone.	Get a concurrent-user estimate from the business and confirm peak usage patterns before design. Ask the vendor or partner which sizing inputs they need.
Edition (Professional, Enterprise, Enterprise Advanced)	The plan gates SSO and AD/LDAP sync, high availability, FIPS 140-3 compliance and air-gapped deployment. Choosing a higher plan later can add design and migration work.	Confirm required features against the pricing page and your requirements before scoping. Ask sales to confirm the plan that includes each required feature.
High availability with shared file storage	A cluster needs redundant app servers, database servers and load balancers, plus shared S3, S3-compatible or NAS storage mounted on every node. Local storage is not supported and risks file corruption.	Decide early whether HA is needed. Use an existing S3-compatible or NAS service where it meets your storage and latency standards, and confirm the storage design with your team.
Read and search replicas	Replicas spread read and search load away from the primary database but add replication, monitoring and failover testing to the work.	Add replicas only when load testing shows the need. Start with a single primary database and document the trigger for adding replicas.
Identity provider complexity and group sync	SAML, OIDC or AD/LDAP setup, attribute mapping, group sync, and provisioning and deprovisioning rules each require coordination with the identity team and testing with real accounts.	Document the identity provider, group model and owner before the build. Limit the first phase to one identity provider and a defined group set.
Number of integrations and bots	Each webhook, slash command, bot or plugin needs design, configuration, testing and an upgrade check on every new Mattermost release. Slack integrations do not transfer during migration.	Inventory integrations first and rank them by business need. Retire unused ones and plan custom work separately from the core rollout.
Data migration from Slack, Rocket.Chat or GitLab Omnibus	Migration involves exporting, transforming with mmetl, importing with mmctl, validating users, channels and files, and planning cutover. Volume and data quality drive the effort.	Ask for a sample export to test early. Define what history to move, and agree on a validation checklist and cutover window in writing.
Number of environments	Development, test, staging and production each need their own configuration, data handling and upgrade testing, which multiplies configuration and verification work.	Keep environments consistent through infrastructure as code and one configuration source. Agree in the quote which environments are in scope.
Compliance evidence needs	Assessors may expect documented configuration baselines, access reviews, audit logging, retention settings and change records. Producing that evidence takes time after the build is complete.	Name the frameworks and control owners at scoping. Ask for evidence formats up front and collect them during the build instead of after go-live. DeployOpen prepares evidence; auditors issue any opinion.
Network constraints	Restricted egress, proxies, private registries, offline networks or segmented zones change how packages, plugins, email and identity traffic reach the server, and may require an air-gapped plan.	Share network diagrams and egress rules during scoping. Confirm whether the target is online, proxied or air-gapped before the design is fixed.

Mattermost implementation phases and the output of each

The sequence below moves a Mattermost rollout from requirements to a documented, supported platform in your own infrastructure, with a defined output at every phase. Each handover gives your team something to review before the next phase begins. Ask for a phase-by-phase timeline in the quote so the dependencies are visible.

Define requirements and scope
DeployOpen works with your security, identity, infrastructure and business owners to record who will use Mattermost, which teams and regions are involved, what data it will hold, and which compliance or network constraints apply. The output is a written requirements document and a scope statement that lists what is in and out of the engagement. The phase is complete when your sponsors have signed off the scope, which becomes the basis for the fixed-scope quote.
Select architecture and plan
Using the requirements, DeployOpen compares deployment options such as Linux or container installs and Kubernetes, and identifies whether high availability, FIPS-compliant images or air-gapped operation require a paid Mattermost plan. The output is an architecture decision record covering hosting, PostgreSQL, file storage, reverse proxy and sizing assumptions, plus a list of licensing questions to confirm with Mattermost. The phase closes when your architecture owner accepts the record.
Build the non-production environment
DeployOpen installs Mattermost in a non-production environment inside your cloud account, data center or enclave, using the architecture decision record as the build specification. The team configures the server, TLS termination and базовые settings, and records each setting in a build log. The output is a working test instance and an infrastructure-as-code or configuration repository your team can review. The step is done when the instance starts cleanly and a smoke test of login, messaging and file upload passes.
Integrate identity, PostgreSQL and file storage
DeployOpen connects Mattermost to your identity provider over SAML, OpenID Connect or AD/LDAP sync, configures PostgreSQL with the backup and access controls your policy requires, and sets up file storage on Amazon S3, an S3-compatible service or NAS, as appropriate for the chosen topology. The output is a tested login flow with account provisioning, a database connection and backup configuration, and a file storage configuration with upload and retrieval tests. The step closes when each integration passes its test cases and the results are documented.
Design teams and channel structure
DeployOpen facilitates workshops with your business owners to define teams, channel naming, default channels, private channel rules, membership groups and who may create teams. The output is a channel and team design document plus a configuration script or import template that applies the structure to the test environment. The phase is complete when owners have approved the design and the structure has been applied and checked in the test instance.
Connect integrations and run the pilot
DeployOpen connects the approved integrations, such as webhooks, bots and any plugins your policy allows, and onboards a defined pilot group of users who use Mattermost for real work for an agreed period. The team records usage issues, performance observations and access requests in a shared log. The output is a pilot report listing defects, change requests and the decisions taken on each. The phase closes when the pilot sponsor accepts the report and signs off the production changes it requires.
Validate and go live
DeployOpen runs the validation test plan against the production-candidate environment, covering authentication, permissions, backup and restore, failover behavior where high availability is in scope, and the security settings from the hardening baseline. Go-live proceeds only after the test results are accepted and a rollback plan is approved. The output is a validation report with test evidence and a go-live record showing the date and the people who approved the cutover.
Hand over with an operating runbook
DeployOpen transfers the environment to your operations team with an operating runbook covering installation records, configuration, backup and restore steps, upgrade procedure, monitoring, incident contacts and access management. Knowledge transfer sessions walk your engineers through routine tasks. The output is the runbook, the configuration record, the validation report and the handover checklist signed by your operations owner. Ask in the quote whether ongoing support or an upgrade retainer is included after handover.

What usually goes wrong in a Mattermost rollout and how to prevent it

Most Mattermost rollout problems start in planning, not in installation. The cards below cover decisions on plan, storage, pilot design, identity, migration, upgrades and cost, each with a check to complete before the scope is signed.

High availability without the right plan or storage

Mattermost high availability is available only on the Enterprise and Enterprise Advanced plans, so a clustered design costed on a lower plan will not meet the requirement. Each node also needs shared file storage on Amazon S3, an S3-compatible service or NAS. Local file system storage will not work correctly in a cluster and risks corrupting files. Confirm the plan in writing and test the shared storage layer before the quote is final.

Skipping the pilot

Channel naming, team structure and permission schemes are hard to change once hundreds of users depend on them. A pilot with a representative group of teams shows where channels overlap, where posting or administration rights are too broad, and how notifications behave under real use. Ask for the pilot to be written into the scope with exit criteria, so design fixes happen before the full rollout.

Underestimating identity work

Single sign-on and AD or LDAP user sync are included from the Professional plan, but connecting them takes design work. Teams need attribute mapping, group sync rules, provisioning and deprovisioning tests, and a decision on which groups control team membership. Confirm that your identity provider is supported, then test a leaver's account end to end before go-live.

Expecting Slack integrations to migrate

The Slack migration path moves channels, messages, users and files through an export, transformation with mmetl, and upload with mmctl. Integrations are not included in the Slack export and cannot be migrated. Build an inventory of every Slack app and webhook in use, decide which ones need a Mattermost replacement such as a webhook, bot or plugin, and budget that rebuild as separate work.

Unplanned plugin and version testing

Mattermost publishes server binaries on the 16th of each month, and Extended Support Releases such as v11.7 carry a longer support window that ends on 2027-05-15. Plugins and custom integrations can break on a new server version. Set up a staging environment that mirrors production, test each plugin against the target version, and schedule upgrade windows before go-live rather than after the first incident.

Budgeting for licenses only

Seat licenses are prepaid annual subscriptions, and pricing is not published, so the quote is the starting point for the license line. Hosting, PostgreSQL, shared file storage, load balancers, read and search replicas, backups, monitoring and the staff who run and upgrade the platform recur every year. Ask for a cost breakdown that separates the license, one-time implementation work and recurring infrastructure and support.

Which parts of a Mattermost rollout teams keep in-house and which they outsource

This table lists the main work packages in a Mattermost rollout, the usual owner of each, and the skills each one needs. Read it as a starting split: the right allocation depends on the skills your team already has and on whether each piece is one-time or ongoing.

Work part	Usual owner	Skills needed
Architecture and plan selection	Outsourced or shared (CIO, architect)	Mattermost plan and feature mapping, HA and air-gapped requirements, identity and data residency decisions
Linux or Kubernetes build	In-house if the team runs Linux or Kubernetes; otherwise outsourced	Linux administration, reverse proxy and TLS, or Kubernetes manifests, ingress and secrets management
PostgreSQL and file storage operations	In-house for ongoing operations; setup often outsourced	PostgreSQL tuning, backup and restore, S3 or NAS configuration for shared file storage
Identity provider configuration	In-house if the IdP team is staffed; otherwise shared	SAML or OIDC setup, AD/LDAP sync, group mapping, provisioning and deprovisioning
Channel and team governance	In-house (business and IT owners)	Workspace policy design, naming conventions, retention rules, admin role assignment
Integration and bot development	Outsourced or in-house depending on existing developer capacity	API and webhook design, slash command and bot development, testing against monthly releases
Data migration with mmetl and mmctl	Outsourced for one-time moves; in-house for small imports	Slack export handling, mmetl transformation, mmctl bulk import, validation of users, channels and files
Security baseline	Shared, with the security team reviewing	TLS and session settings, authentication and MFA, audit logging, evidence collection for assessors
Pilot facilitation	Outsourced or shared with change management	User onboarding, feedback collection, issue triage, go or no-go criteria
Ongoing operations	In-house, optionally backed by a support retainer	Monthly or ESR upgrade planning, monitoring, backup testing, plugin compatibility checks

What Mattermost costs after go-live: subscriptions, hosting and people

After go-live, the recurring cost of a self-hosted Mattermost deployment sits in three places: the Mattermost subscription, the infrastructure that runs it, and the internal staff time that keeps it running. The implementation fee is a one-time cost. Nearly everything else recurs, and it is the recurring part that the budget owner will live with for years. Separate these lines in any quote or internal model before comparing options. The subscription is the item most buyers cannot price from public information. Mattermost sells its Professional, Enterprise and Enterprise Advanced plans as prepaid annual subscriptions based on the number of seat licenses, and its pricing page does not list prices, directing buyers to contact sales. Ask the vendor for the per-seat rate for each plan you are considering, the seat count they assume, how true-ups work when headcount grows, and whether the renewal rate is stated in the order. Confirm which features each plan includes before you pick one, because SSO, high availability and air-gapped deployment each sit on a different tier. Infrastructure costs recur because each component is billed or operated continuously. Plan for application servers, the PostgreSQL database, file storage (Amazon S3, an S3-compatible service or NAS, which is also required for a high availability cluster), and load balancers. Redundancy roughly multiplies these lines, and read or search replicas add more. Ask your platform team to price each component in your own cloud account or data center, including backup storage and snapshot retention, since those costs grow with message and file volume. Release cadence affects people costs. Mattermost publishes a new server version in binary form on the 16th of each month, and the Extended Support Release track offers a slower cadence. The current ESR is v11.7, released on 2026-05-15 with support ending 2027-05-15. Choosing the monthly track means more frequent upgrade testing; choosing the ESR track means fewer upgrades but a hard end-of-support date to plan around. Internal administration time for upgrades, plugin checks, user administration and monitoring is the cost most often left out of the model. When you request a quote for ongoing support, ask the partner to state in writing: which monthly or ESR track is covered, how many upgrades per year are included and whether plugin testing before each upgrade is part of the fee, what monitoring and incident response hours apply, who maintains backups and restore tests, and what is excluded. Ask for the recurring fee separately from the one-time implementation fee, and confirm how the subscription cost you pay the vendor is kept outside the partner's price.

How the Mattermost rollout changes by starting point and environment

A Slack move is a data migration with a documented pipeline, and its scope depends on how much history, how many files and how many integrations you need to carry across. The documented sequence is to export from Slack, transform the export with the mmetl tool into a bulk import JSONL file plus attachments, and then upload and process that output with mmctl. Integrations are the part that does not move. Mattermost documents that the Slack export excludes them, so every Slack app, bot or webhook is rebuilt in Mattermost as separate work.

Export scope: Confirm with your Slack administrator which channels, private channels, direct messages and file attachments the export will include.
Transformation: mmetl converts channels, users and messages into the import format. Expect mapping work for user accounts, team structure and channel naming.
Upload and processing: mmctl loads the JSONL file and attachments. Run test imports into a staging server before production.
Integrations: Rebuild bots, slash commands and webhooks separately and price that work as its own line item.
Cost driver: Attachment volume, history length and the number of integrations to rebuild usually move effort more than the tool run itself.

Before accepting a quote, ask the partner to list which Slack data is in scope, how user mapping is handled and how integration rebuilds are priced.

What you need to provide before a Mattermost quote can be fixed

A fixed-scope Mattermost quote depends on answers the client must supply before scoping starts. Name a business owner who can approve the channel and team model, a technical owner who can approve architecture and access, and a security or compliance contact who can confirm data retention and audit requirements. Without named owners, decisions stall and open questions turn into change orders later. Ask for the target user count at launch and a realistic growth figure for the next budget cycle, because the seat count drives the subscription line and the sizing of the database and file tier.

Identity inputs carry the most scoping risk. For SSO and group sync, provide the identity provider type and version, the protocol you intend to use (SAML 2.0, OpenID Connect or AD/LDAP), the metadata or discovery endpoint, the attribute mapping for email, username and group membership, and a named administrator who can create the application registration and test accounts. Confirm whether deprovisioning must follow directory changes automatically. Also confirm whether the identity provider is one Mattermost officially supports for the plan you are considering, since that determines whether the work is configuration or custom integration.

Infrastructure access determines where effort lands. Provide the target environment (cloud account, data center, Kubernetes cluster or an isolated enclave), the network paths to the identity provider, email relay and any external services, and the access model for DeployOpen engineers, including who issues credentials and how they are revoked. State your PostgreSQL preference (managed service or self-run, and which major version your platform team supports) and your file storage choice. If you plan a high availability cluster, shared storage on Amazon S3, an S3-compatible service or NAS must be available to every node, so confirm it exists before the quote is fixed. Provide DNS names, the TLS certificate source and renewal owner, and the reverse proxy or load balancer standard you already run.

Usage inputs shape the rest of the work. Provide the channel and team model you want, or name the people who will define it and the date they can meet. List every integration, bot, webhook and slash command expected at launch, with its owner and whether it is a vendor product, an internal service or custom code. If you are migrating from Slack, Rocket.Chat or GitLab Omnibus, identify the source system, the export you can obtain, the administrator who can grant export access, and the history period to bring across. Note that Slack exports do not include integrations, so those must be scoped separately. Name a pilot group of users and a sponsor who can collect feedback during the pilot window.

Finally, state compliance and retention requirements in writing: the data classes that will be shared, the retention periods for messages and files, legal hold expectations, audit logging needs, and whether FIPS-compliant images or air-gapped operation are mandatory. These answers decide which plan and deployment path are required, so they should be settled before the quote. Clear answers here reduce the risk of change orders, and the written scope should record each assumption so both parties can see what was agreed.

Questions buyers ask about Mattermost implementation cost and effort

How much does a Mattermost implementation cost?

There is no public price, so the cost is set by a written scope. The Mattermost pricing page lists no public prices and directs buyers to contact sales. Mattermost sells Professional, Enterprise and Enterprise Advanced plans as prepaid annual subscriptions based on seat licenses, so the software cost depends on headcount and plan. DeployOpen does not publish prices either; a quote follows from the scope agreed in writing. The total has three parts: the Mattermost subscription (paid to Mattermost), the implementation work (paid to your internal team or to a partner) and infrastructure for servers, PostgreSQL, file storage and load balancers (paid to your cloud or data center provider). One-time costs include design, build, migration, testing and training. Recurring costs include subscription renewals, hosting, upgrades and support. Ask for every line item to be labeled one-time or recurring.

How long does a Mattermost rollout take and what drives it?

Duration depends mainly on scope. A single-server Mattermost deployment on Linux with PostgreSQL is the smallest case. Duration grows with these drivers: the deployment method (Linux, containers or Kubernetes), whether high availability is required, identity integration with SSO and AD/LDAP user sync, the number of teams and channels to structure, whether Slack or other history must migrate, how many integrations must be rebuilt, and how long the pilot runs before cutover. Security review, change approvals and access to networks or cloud accounts often set the pace as much as the engineering does. No duration is promised here. Ask for a timeline by phase, with milestones, the dependencies on your own teams, and the assumptions behind each phase.

Can our own team implement Mattermost without outside help?

Yes, many teams can, if they have the right skills and time. Mattermost runs as a single Linux binary with PostgreSQL as its database, so a small deployment is within reach of a team that already runs Linux services, databases and identity systems. The harder parts are design decisions with long consequences: high availability, shared file storage, SSO group mapping, migration from Slack, hardening, backups and evidence for compliance reviews. Internal teams also need time to run a pilot and to handle upgrades on the monthly release schedule. Outside help is often used for planning, implementation, integration, hardening, backups and documentation inside your own infrastructure, or to cover a skills gap. Assess your team's experience with each item in the scope before deciding.

What does the client need to provide for a Mattermost implementation?

The client supplies access, decisions and people. Typical inputs include cloud accounts or data center and air-gapped network access, and approval to create the servers, PostgreSQL instance, file storage and load balancers in your environment. Your identity team needs an administrator to configure SAML, OpenID Connect or AD/LDAP, along with the group structure that drives access. Your security team should set TLS certificate and hostname standards, logging destinations and backup rules. Business owners must name the teams, channels and integrations in scope, plus the pilot users and the approvers for cutover. For a high availability cluster, shared Amazon S3, S3-compatible or NAS storage must be available to every node. Confirm these inputs, along with change windows and a named support contact, before the scope is signed.

Does high availability in Mattermost require a specific plan?

Yes. High availability requires an Enterprise or Enterprise Advanced plan. According to the Mattermost high availability documentation, HA is available only on those two plans. An HA design adds redundant application servers, redundant database servers and redundant load balancers. The Mattermost pricing page places high availability clustering and FIPS 140-3 compliance in Enterprise, and air-gapped deployment in Enterprise Advanced. Database read replicas and search replicas can also be added to scale concurrent users and reduce latency, with writes sent to the primary database. The cluster needs shared file storage on Amazon S3, an S3-compatible service or NAS mounted on each node, because local file system storage will not work correctly and risks corrupting files. Confirm plan entitlement and pricing with Mattermost sales before the design is fixed.

Do Slack integrations migrate to Mattermost?

No. Integrations are not included in the Slack export and cannot be migrated. According to Mattermost's documentation for migrating from Slack, the path is: export from Slack, convert the export with the mmetl tool into a bulk import JSONL file plus attachments, then upload and process the import with mmctl. This path moves workspace content such as channels, messages, users and files. Every Slack app, bot, slash command, webhook or custom workflow that people rely on must be inventoried and then rebuilt, replaced or retired on the Mattermost side. That work is separate from the data migration and should be priced as its own line. Ask the vendor for an integration inventory, an owner for each item and a validation step for the migrated data before cutover.

What should a fixed-scope Mattermost quote include?

A fixed-scope quote should state what is in, what is out and what changes the price. Ask for the deployment method and target environment, the plan and license assumptions, the PostgreSQL and file storage design, the SSO and identity scope, the team and channel structure, and an integration list with each item marked rebuild, replace or exclude. The migration scope should state data volume assumptions. Also ask for the pilot size, success criteria and length, backup and restore testing, the cutover plan, documentation and handover, and a timeline with milestones. Each line should say whether it is one-time or recurring. Require an exclusions list, the client responsibilities and a written change request process that explains how added scope is priced. DeployOpen agreements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts.

How DeployOpen scopes, delivers and hands over a Mattermost implementation

DeployOpen plans, implements, integrates, documents and supports self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. For Mattermost, that means agreeing deployment method, database, file storage, identity, team structure and pilot scope in writing before any build work starts.

How we scope

Review deployment method, PostgreSQL, file storage and expected user count before any quote is written
Confirm the Mattermost edition and the plan features your requirements depend on, such as SSO, HA or air-gapped deployment
Agree in writing which integrations, Slack or other migrations, and pilot groups are inside the fixed scope

How we build

Deploy Mattermost on the platform you choose, with PostgreSQL, file storage and reverse proxy configured to your standards
Connect SSO and user sync, then build the team and channel structure agreed in the scope document
Test the pilot group, validate integrations and record configuration so the build can be repeated

How we hand over

Deliver written documentation covering architecture, configuration, access model and the upgrade procedure
Walk your administrators through daily operation, user onboarding and the backup and restore steps
Provide a clear list of open items, owners and decisions still pending at handover

How we support

Offer ongoing support, upgrades and testing as a retainer after go-live, scoped separately from the build
Plan upgrades against the release schedule you choose, testing plugins and integrations before each change
Confirm with the vendor which plan, licensing and release track your environment needs before changes are made