Make AI a SkillYour Teams Own.
We train your builders, reviewers and platform admins on real work, pair with them on the first agents, and stand up an AI Center of Excellence with intake, governance and a reuse library. Then your teams ship the next use cases themselves.
- ELEnablement lead
- FEForward-deployed engineers
- GAGovernance advisor
- DEDomain expert
- Training for each role
- Two agents built with your team
- A CoE charter, intake and governance
- A reuse library of skills and templates
A Few Experts Cannot Carry an AI Program
Adoption stalls when only a handful of people can build and govern agents, and sprawl follows when everyone else builds anyway.
of generative AI decision-makers name agent sprawl as a challenge, Forrester reports.
How we fix itThe CoE runs one intake, one inventory and one release process for every team.
Source: Forrester Predictions, 2026of companies abandoned most of their AI initiatives in 2025, up from 17% a year earlier.
How we fix itEach use case has an owner, a funded team and a target before work starts.
Source: S&P Global Market Intelligence, 2025of day-to-day work decisions will be made by agentic AI by 2028, up from 0% in 2024, Gartner predicts.
How we fix itYour builders, reviewers and admins learn to build and govern agents now, on your own work.
Source: Gartner, June 2025From a Few Experts to Every Team
Adoption stalls when only a handful of people know how to build and govern agents. We spread the skill and set up the structure that keeps it growing.
Builder Training
Hands-on courses on building, testing and publishing agents, using your own processes as the exercises.
Reviewer and Approver Training
How to grade outputs, set thresholds and approve releases, for the experts who sign off.
Platform Admin Training
Roles, policies, secrets, budgets and monitoring for the team that runs ThinkStack.
Paired Builds
Our engineers build the first agents side by side with yours, then step back.
CoE Playbook
A charter, an intake form, a scoring model and a governance process for every new AI request.
Reuse Library
Skills, tools, templates and test sets published once and reused by every approved team.
Twelve Weeks to Self-Sufficient
- Weeks 1–41
Train
Courses for builders, reviewers and admins, using your own processes.
- Weeks 3–92
Pair
Two agents built with your team, from design to release.
- Weeks 3–93
Stand Up the CoE
Charter, intake, scoring and governance agreed with your sponsors.
- Weeks 10–124
Hand Over
Your team runs intake and ships the next agent, with us on call.
Estimate What Your Own Teams Can Return
The return from the next use cases your teams build themselves, after hand-over.
- Baseline measured in week one, from your systems
- Hours, cycle time, cost and quality reported monthly
- Every assumption written down and signed off
What You Get
Materials, structure and two working agents, so the program keeps moving after we step back.
At hand-over
- Training for builders, reviewers and platform admins
- Two production agents built with your team
- A CoE charter with roles, decision rights and a funding model
- An intake form and scoring model for new AI requests
- A governance and release process aligned with your risk policies
- A reuse library of skills, tools, templates and test sets
- Office hours and an adoption dashboard by team
Built to Make Us Less Necessary
Success is your team shipping agents on its own.
Your Work, Your Exercises
Training uses your processes and documents, so the skills apply on day one.
Measured Adoption
Active builders, agents shipped and hours saved, tracked by team.
Governance Built In
The CoE process uses the same release gates and policies as production.
Reuse Over Rebuild
Teams start from approved skills and templates, not a blank page.
Materials You Keep
Courses, playbooks and templates are yours to run internally.
Faster Each Time
Each new agent reuses the tools and test sets of the last one.
Related Modules
The platform modules these solutions are built on.
Other Services
Frequently Asked Questions
Common questions about ThinkTrends Enablement & AI Center of Excellence.
What is an AI Center of Excellence?
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An AI Center of Excellence is a small cross-functional team that sets standards, runs intake and prioritization, governs releases and shares reusable components, so every department can adopt AI safely. ThinkTrends helps you charter, staff and run one.
How do we stop AI agent sprawl?
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Give every agent an owner, a version, a test set and a place in a single inventory, and send new requests through one intake. A ThinkTrends-led AI Center of Excellence sets up that intake, a scoring model, release gates and a reuse library, so teams build on approved parts instead of starting new tools.
Who should attend ThinkTrends training?
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Builders who design agents, subject-matter experts who review and approve outputs, and the platform team that administers ThinkStack. Each role has its own track.
Do our teams need coding skills to build agents?
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No. Most agents are built and changed through configuration on ThinkStack. Engineers can extend them with code, tools and MCP servers when needed.
How long until our team can build agents without ThinkTrends?
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Most teams ship their first agent on their own around weeks ten to twelve, after training and two paired builds.