Industry Solution Delivery

AI that works.
In your business.

We bring the people and engineering to turn your business needs into working AI. From understanding your industry and designing the solution to deployment and ongoing adoption, you have a clear owner at every step.

Your systems. Your workflows. Clear ownership at every step.

THE DELIVERY BLUEPRINT

Built around how you work.

  1. Your business

    Goals · people · operating rules

  2. Systems & data

    Business apps · files · permissions

  3. AI agents & workflows

    Connected steps, designed for your team

  4. Human review

    Approval points & exception handling

  5. Live operations

    Test · deploy · monitor · improve

Connected to your environment. Accountable to your team.

WHO DOES WHAT

Your questions. Clear responsibilities.

We bring business, architecture, engineering, delivery, and customer success together around your workflow. Your business goals shape the scope, with responsibilities and acceptance criteria agreed from the start.

Who understands our business?

Industry / Business Advisor

Business processes, rules, and goals

What they own

Understand how your business works.

Works with your team to map business processes, industry context, operating rules, and goals. Identifies where work gets stuck and which outcomes matter, then brings that business context into the solution design.

What you receive

  • Business process map
  • Operating rules and requirements
  • Business goals and priorities

Who designs a solution we can implement?

Solution Architect

Business needs → technical blueprint

What they own

Design the right solution.

Understands your business and translates requirements into a technical plan. Designs workflows, system connections, data flows, permissions, and human approvals. Defines the technical scope and acceptance criteria.

What you receive

  • Solution architecture
  • Workflow designs
  • Integration inventory
  • Technical implementation roadmap

Who actually builds and deploys it?

FDE

Forward-Deployed Engineer

What they own

Make it work in your environment.

Works inside your real operating environment to implement the solution. Configures agents and workflows, develops connectors or MCP integrations, and handles testing, deployment, and operational optimization. Feeds reusable capabilities back to the product team.

What you receive

  • Working AI workflows
  • Connectors and MCP integrations
  • Test results
  • Deployment documentation

Who manages progress and coordination?

Delivery Manager

Project coordination → accountable delivery

What they own

Keep delivery moving.

Owns project progress and delivery. Manages timelines, budget, people, dependencies, and risks. Coordinates your data, access, and feedback, and manages scope changes, training, acceptance, and handover.

What you receive

  • Project plan
  • Progress reports
  • Change records
  • Acceptance and handover materials

Who supports the long-term relationship?

Account Owner + Customer Success

Commercial relationship and ongoing adoption

What they own

Stay connected after launch.

Your Account Owner manages the commercial relationship and coordinates future business needs. Customer Success follows how your team uses the solution, gathers feedback, and reviews adoption and outcomes with you.

What you receive

  • Commercial relationship coordination
  • Usage and feedback follow-up
  • Adoption and outcome reviews

THE EXPERTISE BEHIND YOUR SOLUTION

The engineering to make AI work.

The team combines these capabilities to address your business process, connected systems, and operating requirements. The implementation plan defines what your project needs.

AI agents & workflow engineering

Configure agents, sequence business steps, work with source data, and route exceptions to the people who need to review them.

What this means for your team

A workflow built around the way your team actually works.

System integration & MCP

Connect agreed business apps, documents, and data sources. Develop customer-specific connectors or MCP integrations when your workflow needs them.

What this means for your team

AI can work with the systems and records your business uses.

Permissions & approval design

Design access boundaries, data flows, human approvals, and exception paths as part of the solution architecture.

What this means for your team

Your team can control who accesses data and approves actions.

Testing, deployment & optimization

Test real business scenarios, document deployment, coordinate rollout, and use operational feedback to improve the workflow.

What this means for your team

A tested solution with a documented path into daily operation.

FROM REQUIREMENT TO ROLLOUT

A practical path to production.

Start with a defined business workflow. Agree on the scope and success criteria, then build, validate, and roll it out with your team.

  1. Discover & design

    Map the business process, system access, data, and review points. Agree on scope, responsibilities, and acceptance criteria.

    Stage output

    An agreed solution blueprint and project plan

  2. Build & connect

    Configure agents and workflows in your environment. Connect business systems and implement the permissions and approval steps.

    Stage output

    A working workflow with its integrations

  3. Validate & launch

    Test real scenarios and exceptions with your team. Review results against acceptance criteria and coordinate the production rollout.

    Stage output

    Test evidence, acceptance records, and a deployed solution

  4. Train & hand over

    Train the people who use and maintain the workflow. Document operating procedures, confirm ownership, and agree with Customer Success on usage and outcome follow-up.

    Stage output

    A trained team, operating handover, and follow-up plan

WHAT DELIVERY LOOKS LIKE

A solution your team can operate.

The deliverable includes the working solution and the evidence, documentation, and ownership your team needs to use it.

Connected to real systems

Workflows use the business apps, documents, and data agreed in your solution scope.

Human control built in

Permissions, review points, and exception paths are part of the workflow design.

Tested against agreed criteria

Test results and acceptance records make the outcome reviewable by your team.

Ready for handover

Training, deployment documentation, and named owners support day-to-day operation.

SEE THE WORK IN CONTEXT

Explore our documented industry cases.

These existing OpenTeam case playbooks show the connected systems, workflow steps, prepared outputs, and human review points behind an implementation.

Explore the connector catalog

BUILT FOR YOUR INDUSTRY

Start with the work that matters.

Explore example workflows, then shape the implementation around your business process, systems, and team.

LET’S PUT AI TO WORK

Bring us a business workflow.

Tell us what your team needs to accomplish, which systems you use, and where work gets stuck. We’ll help define a practical implementation scope and delivery plan.