Onyx Labs
01/Offering

Full coverage of the private equity lifecycle

Onyx Labs helps sponsors underwrite, build, govern, and realize AI value creation with a delivery model designed for the pace of PE.

02/PE lifecycle

From fluency to exit readiness, scaling AI maturity and impact.

Each offer is scoped around the moment where AI can change underwriting confidence, operating velocity, governance quality, or the buyer's view of the asset.

01 / Foundation

Agentic Fluency

A continuous curriculum that turns deal teams and portfolio leaders into capable operators of frontier AI. Weekly intelligence on what changed, monthly working sessions on live problems, and hands-on labs where teams rebuild real deliverables with current tools. The goal is durable judgment, not one-off training.

Engagement model
Fixed monthly fee
Representative deliverables
01
Tailored Curriculum & Training
Role-specific AI fluency built around the team's real workflows and portfolio priorities.
02
Hands-On Office Hours
Live problem-solving on the team's real deals, portcos, and deliverables.
03
In-Person Workshops
Teams rebuild existing work with current-frontier tools and practical agent workflows.
02 / Operating model

Agentic Process Re-Engineering

Before AI is layered on, the workflow is re-engineered from first principles, because bad processes do not get better with AI, they get faster at being bad. We map the current state, redesign for an agent-native operating model, and sequence the rollout so automation lands on a process worth scaling.

Engagement model
Fixed-fee project
Representative deliverables
01
Current-State Workflow Diagnosis
Where time, cost, and errors actually accumulate today.
02
Agent-Native Process Redesign
The workflow rebuilt around AI and agents, not bolted onto it.
03
Implementation Roadmap
Sequenced rollout with owners, milestones, and quick wins.
03 / Underwriting

AI Due Diligence

Rapid diligence across strategy, commercial, operations, and data, run at the speed of a live deal. We assess where AI could disrupt the business, evaluate the management team's talent and AI readiness, and surface the value creation levers that belong in the underwriting case before signing.

Engagement model
Fixed-fee sprint
Representative deliverables
01
AI Disruption Assessment
How exposed the business and its moat are to AI.
02
Talent & AI-Readiness Review
Whether the management team can execute the AI plan.
03
Value Creation Lever Map
AI-driven upside to write into the underwriting case.
04 / Hold period

AI Value Creation

Full engagement delivery from strategy through execution, inside the portfolio company. We move from quick wins to structural redesign, with every workstream scoped, owned, and measured against EBITDA and enterprise-value impact rather than activity.

Engagement model
Fixed fee or outcome-based
Representative deliverables
01
Data & AI Strategy Design
High-ROI AI plays that compound from week one.
02
Value Creation Plan & Roadmap
The sequenced plan from quick wins to structural redesign, with owners and milestones.
03
AI Operating Model Design
Value tracked against EBITDA and enterprise value.
05 / Governance

Board Governance

Board-level governance for AI investments, programs, and risk, including dedicated Digitization & AI Council structures where the portfolio needs a standing cadence. Senior representation keeps AI spend accountable, on-thesis, and visible to the board.

Engagement model
Quarterly retainer
Representative deliverables
01
AI Governance Cadence
Standing rhythm for review, decisions, and escalation.
02
Digitization & AI Council Charter
Mandate, membership, and decision rights.
03
Board Risk & Program Dashboard
Spend, progress, and risk in board-ready form.
06 / Exit

Exit Preparation

Position the asset as AI-ready for the next buyer. We document the AI capability stack as part of the equity story and hand the next sponsor a company with a real AI operating model already in place, not a set of pilots.

Engagement model
Fixed-fee project
Representative deliverables
01
AI Capability Stack Documentation
What is built, running, and owned at exit.
02
Buyer-Ready Operating Model Narrative
The AI story that supports the equity value.
03
Equity Story Evidence Pack
Proof points the next buyer can underwrite.
03/Deliverable Philosophy

Goodbye slideware.
Hello knowledge graph.

A PowerPoint expires the moment it is presented. Onyx Labs leaves behind an AI-ready operating asset your business can query long after the work is done.

Entity
Facts
Entity
KPIs
Entity
Risks
Entity
Decisions
Entity
Recommendations
Entity
Owners
Entity
Evidence
AI-ready
Client Knowledge Graph
Engagement Knowledge Graph
No PPT as the system of record

The graph compounds. The deck expires.

The engagement output is a durable AI-ready asset: evidence, decisions, risks, KPIs, owners, and recommendations structured so the business can query and reuse them after the work is done.

01
Ingest

Diligence files, meeting notes, KPIs, operating plans, and product outputs.

02
Structure

Every fact and recommendation is source-linked, owner-aware, and queryable.

03
Activate

The client receives a knowledge base, conversational site, and action playbook.

Knowledge Graph

A source-linked graph of facts, decisions, recommendations, KPIs, owners, and open risks. It becomes the durable system of record behind the engagement.

Hosted Website w/ Conversational AI

A dedicated engagement website with conversational AI, so stakeholders can query findings, sources, and next actions directly instead of hunting through static slides.

Action Playbook

A prioritized, owner-assigned execution plan with sequencing, KPIs, governance cadence, and accountable next steps. It is designed to run the change.
04/Next step

Find your highest-value AI opportunity.

Let's talk