Strategic AI services

Install verification capacity before agents reach production.

We help engineering leaders turn agentic software work from impressive demos into governed, evidence-backed workflows that can survive review, audit, and release pressure.

Book a strategy call Start with an assessment

Agents outrun reviewThey can generate and change software faster than a human process can safely inspect every step.

Confidence is not evidenceTranscripts, screenshots, and model assertions are not a release basis for serious engineering organizations.

Proof is custodyProof means process, gates, evidence, and accountable decisions, not a promise that the model is always correct.

How we work

Start with the assessment. Install only where the evidence says it is worth it.

Pricing is scoped per engagement. The assessment qualifies the risk, the workflow, and the path before anyone commits to a larger build.

Start here · Assess

Verification-Capacity Assessment

Engineering leaders deciding whether and where to trust agents in delivery.

Review of your current agentic setup against the LL/LB framework.
Gap analysis across evals, gates, evidence, accountability, and data flywheel.
A prioritized roadmap and a clear go / no-go on each candidate workflow.

You leave with: A scored assessment and roadmap. Fast, low-commitment, qualifies everything that follows.

Assess your verification capacity

Install

Governed Workflow Installation

Teams with a real workflow ready to make trustworthy and auditable.

The governed harness on one workflow: evals before the agent, policy-as-code gates, typed actions, redacted traces, evidence trail.
The 90-day path from the playbook — owner first, agent last.
A reusable template so the second workflow costs a fraction of the first.

You leave with: A working, auditable agentic workflow plus the template to repeat it.

Discuss an installation

Advise

Fractional Verification Leadership

Teams that have a harness and need it to stay current as models drift.

Embedded guidance on gate design, eval coverage, and incident response.
Periodic review of verification capacity as the frontier moves.
A second set of eyes on high-risk transitions before they ship.

You leave with: Ongoing discipline so you don't re-learn the harness at the next incident.

Talk through advisory support

Enable

Team Enablement

Orgs that want the capability owned in-house, not dependent on us.

Workshops on the framework, the gates, and the verification discipline.
The papers and operating practices as your team's reference.
Hand-off so your team runs the method without us.

You leave with: In-house capability that compounds — the opposite of a dependency.

Plan team enablement

The method

A governed path from request to release decision.

The method is intentionally boring where it matters: specify the work, lock the acceptance criteria, build inside custody, prove with evidence, then decide what can ship.

01Specify

02Lock

03Build

04Prove

05Ship

What compounds

The model is rented. The verification loop is owned.

Most teams should rent the frontier and route. A durable moat exists only where proprietary data, a regulated workflow, and deployment locus reinforce one another.

1Proprietary dataConsented domain data others don't have.
2Expert evalsWhat 'correct' means in your domain.
3Skills & correctionsAccumulated, reviewed, reusable.
4Local / hosted modelsRendered from your data, where it must run.
5Governed evidenceAudit trail that feeds back to data.

We install the loop; you own the compounding asset. The model is a commodity — the flywheel that re-renders capability is the moat.

Know what your agents are allowed to ship.

Start with a verification-capacity assessment. We will show you where the gaps are, which workflows are viable, and what to build next.

Book a strategy call