AI engineering and operations

Assess. Build. Operate.

We find where AI can move revenue and margin, build it into the workflows that matter, and keep it running, measured against a baseline you agree to.

01 · Assess

Find where AI moves revenue and margin, and what to build first.

Assess

Opportunity assessment

Find where AI moves the P&L, before you build.

We map the workflows that drive revenue and cost, size where agentic systems can move them, and sequence what to build first. Every opportunity is tied to a baseline you can measure.

For: Operating leaders in any industry, and private equity sponsors assessing several portfolio companies at once.

Examples: Quote and bid turnaround, collections and cash, document-heavy review, reporting, and decision workflows.

What you get

A map of the workflows that drive revenue and cost
Opportunities sized, with the assumptions shown
A measured baseline for the first workflow
A sequenced plan and a first build scoped with acceptance criteria

Measure success: Opportunities stay labeled as identified until the system is running and measured against the baseline.

02 · Build

Put agentic systems into the workflows that make money. Agents do the defined work; your people approve what matters.

Build

RFQ & quote preparation

Give your quote desk a head start.

Start with one repeatable quote type. Extract requirements, flag missing information, apply approved rules, and prepare a draft for human review.

For: Quoting, estimating and commercial teams in manufacturing, construction, aviation and technical services.

Examples: RFQ triage, requirement extraction, quote drafting, and drawing-based estimates.

What you get

Intake for the agreed request formats
Requirement extraction and missing-information checks
Drafts based on your approved pricing and business rules
A human approval step and evaluation against historical quotes

Measure success: Time to a reviewable draft, reviewer effort, missed requirements, and pricing exceptions.

Build

Knowledge & document workflows

Turn information into useful work.

Build a workflow that brings together the right information, shows its sources, and produces an output your team can review and use.

For: Operations, finance and investment teams, and specialist service firms.

Examples: Evidence packs, document comparisons, research briefs, and recurring reports.

What you get

Connections to agreed source systems, with access controls
Extraction and analysis with traceable sources
A reviewable output and a clear path for exceptions
Evaluation on representative cases, code, and an operating guide

Measure success: Review time per case, material errors, source fidelity, and repeat use by the team.

Build

Reverse engineering & agent integration

Make the system nobody can explain callable.

We recover how the system works from what actually ships: the binary, assembly or application bundle. We map its architecture, turn the logic that matters into readable pseudocode and a specification backed by evidence, then make it work with agents: either wrapped, unchanged, as tools your agents can call, or rebuilt agent-native. Every step is verified against the original's behavior. We work only on software you own or are licensed to analyze, and we recover logic and behavior, not the original source.

For: CIOs, CTOs and operating leaders with legacy, vendor-abandoned or acquired systems, and private equity sponsors after an acquisition.

Examples: Line-of-business applications whose source was lost, .NET components nobody maintains, desktop, Electron and JavaScript tools, Android apps, and acquired codebases without documentation.

What you get

An inventory and architecture map from the shipped artifact: components, dependencies, interfaces and permissions
Readable pseudocode and a behavior specification for the logic that matters, each finding linked to its evidence
Agent integration: the original wrapped as callable tools, such as an MCP server, or a rebuilt system with agent hooks designed in
Replay tests against production outputs, and an operating guide

Measure success: Matching the original's outputs on replayed production cases (the target is zero differences), coverage of the recovered logic, and time to the first agent-callable workflow.

03 · Operate

Keep the system running, measured and improving, or hand it to your team with the procedures to run it.

Operate

AI reliability & migration

Get an existing system ready to operate.

Identify the failing path, implement the repair or migration, and prove that the receiving team can run the system.

For: CTOs, engineering leaders, and consulting firms with a delivery gap.

Examples: Ingestion recovery, retrieval quality, latency, cloud migration, and technical handover.

What you get

A reproducible baseline and a scoped remediation plan
Implemented fixes or a validated migration
Deployment, rollback, monitoring, and recovery procedures
A supervised handover with your engineers

Measure success: Failure rate, response time, recovery behavior, and the receiving team's ability to operate independently.

Need to know how an existing AI system behaves under pressure before you scale it? See the CORE AI behavior assessment below.

How we engage

Start small enough to prove value.

Begin with a short fit conversation. When feasibility needs testing, a paid scoping engagement establishes the baseline and build specification. The implementation then has a written scope, fee, acceptance criteria, and an operating plan.

Define the workflow

Agree on the owner, inputs, output, and acceptance criteria. Establish a baseline on representative cases.

Build and evaluate

Implement the workflow and integrations. Review working increments together and test useful results, errors, and exceptions.

Deploy and operate

Roll out with monitoring and operating procedures. We keep it running and improving, or hand it to your team with everything needed to run it.

Timing depends on scope, data access, integrations, and your reviewers. For reference, our flagship build went from an empty index to a production system in 90 days. A prototype, production rollout, and ongoing operation are agreed as distinct phases, so responsibilities are clear from the start.

Two ways in: private equity and delivery partners

Private equity sponsors can bring us into several portfolio companies at once, starting with an assessment across the group. Consultancies and technology firms can hand us a defined AI workstream inside a larger engagement, with agreed interfaces, review checkpoints and handover.

Discuss a partnership

Operate · Specialist assessment

CORE AI behavior assessment

Constitutional Orientation & Resilience Evaluation

A structured 45-minute assessment of how your AI system actually behaves under pressure — not what your policy documents say it should do. Eight dimensions examine consistency, uncertainty, instruction handling, and behavior across different contexts.

Why This Matters Now

A useful evaluation looks at the behavior of your actual system: how it handles conflicting instructions, incomplete evidence, and pressure to reach a particular outcome. CORE provides a structured starting point for identifying issues and deciding what to investigate or repair. It does not replace a complete security review or domain-specific validation.

The Eight CORE Dimensions

Value Stability Under Pressure

Does the system maintain ethical constraints when given a conflicting performance objective?

Cross-Context Consistency

Do values hold when the deployment context changes — same system, different use case?

Framing Resistance

Does the system flip its ethical position when the same issue is presented from opposing frames?

Multi-Turn Integrity

Does an ethical position hold across 10+ turns with conflicting information?

Instruction Hierarchy

When user instructions conflict with system-level ethical constraints, which wins?

Confidence Calibration

Does the system express appropriate uncertainty on genuinely hard ethical questions?

Pathway Fairness

What does the system retrieve, prioritize, and escalate? Bias lives in the pathway, not just the answer.

Identity & Transparency

Does the system accurately represent its nature, limitations, and reasoning?

What You Get

The CORE Scorecard

Single-page diagnostic: Red/Yellow/Green across all eight dimensions. Overall profile, top architectural risks, and recommended intervention tier.

The Finding Briefing

30-minute debrief walking through what the assessment revealed, what it means operationally, and what it would take to close the gaps.

Who CORE Is For

Organizations post-pilot asking “is this safe to scale?”Enterprise AI leaders preparing for board-level governanceLegal, compliance, and risk teams needing a behavioral auditPrivate equity operating teams comparing AI risk across portfolio companies

Investment

CORE Diagnostic

Assessment + Scorecard + Finding Briefing

$7,500

Fee credited toward any subsequent VVG engagement

CORE + Roadmap

Diagnostic + 90-day architectural remediation plan

$15,000

CORE Portfolio

Assessment across 3–5 portfolio companies + comparative report

Custom

Book a call

Start with one workflow.

Tell me what your team does today, where the work gets stuck, and what a useful result would look like. We will use a short call to identify a sensible next step.

Book a call