Assess → Apply → Adopt

GenAI capability that's targeted, applied, and adopted

AGASI helps non-technical teams measure how GenAI is used today, build practical capability through instructor-led cohorts, and standardize the workflows worth keeping. HR is live now; other functions are on the way.

Explore all productsExplore HR Playbooks

Why GenAI adoption is stalling at the “experimentation” phase

GenAI is accelerating across functions, but most organizations lack a clear baseline for how work is actually being done. Without a standard operating system, individual productivity doesn’t translate into enterprise performance.

What we see (The Friction)

Relevance: Skills aren't anchored to real-world, daily workflows.

Recency: GenAI practices drift and skills decay as models evolve.

Reliability: Verification habits are inconsistent and unmapped.

What it causes (The Business Risk)

Missed Opportunity: High-potential use cases are ignored in favor of trivial tasks.

Rework: Inaccurate or hallucinated outputs require manual fixing.

Inconsistent Quality: Output depends on the individual, not the standard.

Our Approach: Moving from Experimentation to Execution

We solve this by moving teams through a structured progression:

1

Assess

Measuring how GenAI is used across adoption, verification, data handling, and task framing — reported at the team level.

2

Apply

Running hands-on cohorts where teams put GenAI to work on real tasks alongside an instructor.

3

Adopt

Standardizing the workflows your teams keep using — with prompts, verification, and data-handling guidance built in.

Three products. One progression.

Each one stands on its own — and they compound. The typical path is Pulse → Labs → Playbooks, but you can enter at the phase that matches where your team is today.

Assess

GenAI Capability Pulse

Capability assessment across adoption, verification, data handling, and task framing.

Outputs: Capability snapshot across four dimensions, plus prioritized enablement areas.
Best for: A baseline for targeted enablement.
Explore Pulse
Apply

AGASI Labs

Hands-on cohorts where teams put GenAI to work on real tasks.

Outputs: Working artifacts produced in-session, plus the Playbooks the cohort applies.
Best for: Building practical capability fast.
Explore Labs
Adopt

AGASI Playbooks

Structured workflows your teams use inside their own GenAI tools.

Outputs: A shared standard per workflow — prompts, verification, data handling, and sample inputs.
Best for: Making GenAI use consistent across the team.
Explore Playbooks

How it works

Typical sequence: Pulse → Labs → Playbooks.

1

Baseline first

Pulse

2 weeks

2

Apply in cohort

Labs

By cohort

3

Adopt the standard

Playbooks

Ongoing

Ready to start?

Tell us what you're trying to do and we'll recommend the right starting point.

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