Custom AI Assistants

Assistants built around the work—and the people doing it.

We design governed, human-centered assistants and workflows for specific operational needs, with controls defined before launch rather than after.
Discuss a Custom Build

How the journey moves

A clear path, one step at a time.

  1. 1

    Scope the work

    Define the task, the people involved, and what success looks like.

  2. 2

    Design controls first

    Human review, access, consent, and escalation set before launch.

  3. 3

    Build & test

    A governed assistant tested with real users and real scenarios.

  4. 4

    Launch & maintain

    Performance measurement and a maintenance plan after go-live.

Use cases

Where assistants earn their place.

  • Event planning and operations
  • Workforce navigation
  • Grant and donor research
  • Knowledge management
  • Decision support
  • Learning and participant support
  • Market and opportunity intelligence
  • Employer and partner engagement

Controls

Every build includes governance.

  • Human review
  • Data controls
  • User consent
  • Role-based access
  • Escalation points
  • Performance measurement
  • Maintenance planning

Prompts, agent logic, workflow architecture, and configurations remain CAI intellectual property unless otherwise agreed in writing.

Who this is for

Built for teams like yours.

Operations teams

Groups with repetitive research, planning, or knowledge work.

Program & service leaders

Teams supporting participants, learners, or job seekers.

Growth & partnerships

Teams researching grants, donors, markets, or partners.

What you walk away with

Deliverables you can act on.

Exact deliverables are confirmed in a written scope for each engagement.

  • A working, governed assistant or workflow
  • Documented human-review and escalation points
  • Role-based access and data controls
  • Performance measures and reporting
  • Maintenance and improvement plan

Questions

Good to know.

Will the assistant make decisions on its own?

No. Every build includes human review and escalation points for consequential decisions.

What about our data?

Data controls, consent, and role-based access are defined before launch.

How long does a build take?

Timelines depend on scope and are confirmed in writing after discovery.

Who owns the build?

Prompts, agent logic, and configurations remain CAI intellectual property unless agreed in writing.

Start with a scope review.

Engagements generally begin with paid discovery, assessment, or architecture.