Enterprise Consulting
Enterprise Consulting
Hands-on implementation consulting across all five dimensions
From a single ART launch to a full-portfolio AI-Native transformation. Three engagement tiers, SPCT-led delivery, and a delivery rhythm built around measurable mutation — not slide decks.
SPCT-led · Fixed-scope milestones · No long-term retainers
Why Organizations Choose Structured Safety Consulting
Implementing safe AI systems requires more than policy documents and one-time workshops. Organizations that operate at scale—across distributed teams, regulated industries, and high-stakes decision environments—need a continuous, operationally grounded safety program that evolves with the technology and the threat landscape.
Our consulting engagements are designed for technical and compliance leaders who need verifiable, auditable safety outcomes—not checkbox exercises.
- Close the gap between AI policy and AI practice — translate board-level commitments into operational controls your engineering teams can actually execute.
- Satisfy regulatory and customer scrutiny — produce documented evidence of systematic safety work for auditors, procurement teams, and regulators.
- Reduce incident exposure — identify failure modes before deployment, not in post-mortems.
- Build internal capability — transfer frameworks and tooling so your teams own safety outcomes independently over time.
- Operate with confidence at scale — safety programs that hold up under production load, team turnover, and rapid model iteration.
Engagement Tiers
All engagements begin with a structured discovery phase. Scope, depth, and duration are calibrated to your organization’s deployment maturity, team size, and regulatory environment. Three engagement tiers address distinct organizational needs.
| Tier | Best For | Primary Deliverables | Typical Duration |
|---|---|---|---|
| Assessment | Organizations evaluating their current safety posture before a major deployment or compliance milestone | Safety posture report, prioritized risk register, remediation roadmap | 4 – 8 weeks |
| Program Build | Organizations standing up a formal AI safety function for the first time or rebuilding after a gap | Governance framework, red-team playbooks, incident response runbooks, staff enablement | 3 – 6 months |
| Retained Advisory | Organizations that need ongoing expert judgment embedded in their safety review cycles | Quarterly reviews, pre-deployment sign-off support, regulatory response preparation, executive briefings | Rolling annual |
Organizations may enter at any tier and transition between tiers as their programs mature. Multi-tier engagements are scoped during discovery.
How Engagements Are Structured
Every engagement follows a disciplined rhythm that keeps work grounded in operational reality rather than abstract frameworks. The phases below apply across all tiers, scaled to the engagement scope.
- Discovery & Scoping — Structured interviews with technical, legal, and operational stakeholders. Review of existing documentation, model cards, deployment architectures, and prior incident data. Output: agreed scope, success criteria, and engagement plan.
- Current-State Analysis — Systematic evaluation of safety controls, monitoring coverage, escalation paths, and governance structures against a documented baseline. Output: gap analysis with severity ratings.
- Recommendations & Design — Co-developed remediation or program design, incorporating your team’s constraints and roadmap. Output: prioritized action plan with owners, timelines, and measurable acceptance criteria.
- Implementation Support — Hands-on working sessions, review cycles, and expert availability during execution. Output: controls in place, teams trained, documentation complete.
- Validation & Handoff — Evidence review against acceptance criteria, final deliverable package, and transition plan for ongoing operations. Output: signed-off safety program and internal capability to maintain it.
Assessment engagements conclude after phase two with the addition of a detailed report. Program Build and Retained Advisory engagements proceed through all five phases.
The SPCT Framework
Our consulting work is organized around the Safety, Policy, Controls, and Testing (SPCT) framework—a structured lens for evaluating AI system safety that addresses the four dimensions organizations most frequently under-invest in.
- Safety — Systemic identification of harm vectors, failure modes, and unintended consequences across the full deployment lifecycle, including edge cases, adversarial inputs, and cascading failures in integrated systems.
- Policy — Governance structures, usage policies, acceptable-use frameworks, and accountability chains that give safety commitments legal and operational weight inside the organization.
- Controls — Technical and procedural mechanisms—filters, monitoring pipelines, access restrictions, human-in-the-loop checkpoints—that operationalize policy at the system level.
- Testing — Structured evaluation regimes including red-teaming, adversarial probing, regression suites, and pre-deployment checklists that provide ongoing, evidence-based assurance rather than point-in-time snapshots.
SPCT is not proprietary jargon—it is a practical organizing principle that maps directly onto the artifacts regulators, auditors, and enterprise procurement teams ask to see. Engagements produce documentation aligned to this structure so your team can answer hard questions quickly.
Frequently Asked Questions
Do we need to have an existing AI safety program to engage?
No. Many clients come to us precisely because they are starting from scratch. The Assessment tier is specifically designed to establish a credible baseline, and the Program Build tier is structured for organizations building their first formal function.
What industries do you work with?
Our engagements span financial services, healthcare and life sciences, legal technology, enterprise SaaS, defense-adjacent commercial applications, and infrastructure sectors. The SPCT framework is sector-agnostic; it is adapted to sector-specific regulatory requirements during scoping.
How is confidentiality handled?
All engagements operate under a mutual non-disclosure agreement executed before discovery begins. Access to proprietary systems, model weights, training data, and internal documentation is governed by a data handling protocol agreed at the outset of each engagement.
Can consulting work support an ongoing internal safety team?
Yes. The Retained Advisory tier is designed precisely for organizations that have internal safety staff but want structured external review, challenge, and subject-matter expertise available on a predictable cadence. We function as a senior advisory layer, not a replacement for internal capability.
What does the engagement process look like before a contract is signed?
Engagements begin with a no-obligation scoping call to assess fit and define the problem space. Following that, we produce a written scope-of-work proposal that specifies deliverables, timeline, and engagement structure. There is no pressure to proceed beyond any stage.
Ready to go deeper?
Schedule a scoping call to discuss your organization’s AI safety posture and determine which engagement tier fits your current needs.