Services

Six engagements.
Each one scoped to a specific governance gap.

Six structured engagements, each scoped to a specific governance gap. Fixed-scope or retainer. No platform commissions. No generic frameworks applied from a distance.

01 · readiness

Know where you stand.
Before procurement asks.

A structured assessment of your agentic AI systems against applicable governance frameworks: authorization scope, data boundary policies, audit trail architecture, and accountability design. Delivers a current-state map, gap analysis, and a prioritized remediation roadmap. So you can answer the questions legal and procurement will ask before they're asking them in a deal.

02 · architecture

Find the gaps before your auditor does.

A vendor-neutral analysis of how your agent systems handle authorization, data flow, and accountability across organizational boundaries. Maps your current architecture against the governance primitives that enterprise procurement, legal, and compliance teams will scrutinize.

03 · frameworks

Turn principles into production specifications.

A structured gap analysis against the Agentic Governance Framework (AGF), a vendor-neutral model covering delegated authority, data boundaries, and transaction commitments. Delivers a targeted remediation plan with implementation priorities, so your team knows exactly what to fix and in what order before procurement scrutiny arrives.

04 · operations

Structure the humans behind the agents.

Agent deployments expose organizational ambiguity faster than organizations typically anticipate. When an agent acts across a boundary, someone owns the liability. When the audit trail is incomplete, someone answers for it. This engagement defines who that is, before your deployment surfaces the question. Role definitions, separation-of-duties policy, RACI for agent operations, escalation playbooks, and procurement criteria. The decisions your deployment will force. Made before launch, on your terms.

05 · leadership

Get leadership aligned before the deployment decision.

Half-day or full-day sessions for executive and leadership teams. Builds shared understanding of governance requirements, liability exposure, and decision frameworks. Before the deployment decision, not after the first incident.

06 · advisory

Independent governance input on every decision that shapes your deployment.

In agentic environments, governance debt compounds. Every untracked adaptation widens the gap between what your organization believes it can defend and what the runtime system is actually doing. This engagement keeps that gap closed. Architecture decisions reviewed before they land, governance posture updated as regulations shift, direct input on every operational change that affects your evidence state. No platform interest. No reason to recommend anything other than what holds.

02 · the right fit

Built for organizations where agentic AI is a strategic investment. Governance is a prerequisite for enterprise deployment, not an afterthought.

  • You're deploying agents into enterprise or regulated workflows

    Moving beyond assistants into systems that transact, commit, and act across organizational boundaries. Governance requirements are real and procurement scrutiny is high.

  • You need governance designed in, not bolted on

    Pre-production. Before the architecture is locked. You understand that retrofitting governance after deployment costs more, takes longer, and leaves you exposed between deployment and remediation.

  • Your enterprise deals are stalling on compliance and accountability

    Legal, procurement, and compliance teams are asking questions your engineering team can't answer yet. The gap isn't model capability. It's governance architecture.

  • You want vendor-neutral thinking, not a platform pitch

    You've talked to governance SaaS vendors. You're looking for independent architecture thinking from someone with no interest in which platform you pick.

  • Your governance strategy should lead your deployment, not follow it.

    Enterprise buyers ask governance questions before they sign. The difference between organizations that close those deals and those that stall is rarely the technology. It is whether governance is part of the operating model or patched in after the architecture is locked. Governance built in is a different product than governance bolted on.

the real constraint
Enterprise agentic AI deployments don't stall on the model. They stall on governance readiness.

The questions that block procurement and delay deployment aren't about capability. They're about accountability, audit trails, and who bears liability when agents act. Organizations that answer these before deployment move faster than those that discover them after.

typical outcome
A governance architecture that satisfies legal, procurement, compliance, and engineering. Before the first enterprise deal closes.
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