Does the AI do what the deck says
We evaluate the actual system on representative tasks, including its failure modes, costs and dependence on third-party models.
For investors and acquirers
Diligence for AI products and agent-built codebases.
Know what you are buying before you sign: whether the AI does what the deck says, whether the codebase can be maintained, and what it will take to integrate or fix.
What we solve
What the diligence has to answer.
Agent-built codebases
Code written with coding agents can look finished and still be hard to change. We inspect maintainability, permissions and test depth.
After the close
An integration and remediation plan, plus a forward-deployed team or fractional CTO to execute it across the portfolio.
Proof
Work we have already done.
We led the technical diligence for the acquisition of a healthcare platform we built, and carried the platform forward afterward.
Healthcare / selected work
Technical leadership through acquisition
- The problem
- A regulated EHR and revenue-cycle platform connecting clinical workflows, revenue operations and patient access.
- What we built
- The core EHR/RCM system, with HL7 orders and labs, telehealth and a patient portal, then a Microsoft Fabric data layer after the acquisition.
- What it made possible
- A platform the acquiring a16z-backed company chose as its technology foundation, with 100+ reports in use by hospitals and healthcare organizations.
- CTO
- platform leadership through acquisition
CTO leadership, TeqEngine software development and technical diligence through acquisition.
Read case studyContinuity through a technical transition
- Understand the estateArchitecture, dependencies and technical risks
- Make the decisionDiligence findings · leadership communication
- Carry the platform forwardSystem and data delivery after acquisition
- Maintain ownershipOperational context · decisions · handoff
How we engage
Forward-deployed engineers, on terms you can plan around.
Diligence in two to four weeks. After the close, a fractional CTO or a forward-deployed team can carry out the plan.
Technical & AI diligence
Two to four weeks
Evidence for an investment, acquisition or major platform commitment, including the real state of an agent-built codebase.
You get: Evidence-backed findings, material risks, integration and remediation plan, and a readout for the deal team.
Discuss a diligenceFractional CTO
Initial three-month term
A senior technical counterpart for architecture, agent adoption and the decisions your board and investors ask about.
You get: Architecture decisions, agent-adoption plan, delivery reviews, and leadership and board readouts.
Explore this optionForward-deployed build
Initial three-month engagement
Forward-deployed engineers embed with your team and build the agent platform, AI product or the systems behind it, measured with the Harness Method from the first week. Scope, milestones and acceptance criteria are agreed before work starts.
You get: Working software, a scorecard on quality, speed, cost, control and drift, the harness your engineers keep using, release gates, runbooks, and a handoff your team runs with.
Explore this optionOr start where your agents are today
Build
Building something new
Add an AI feature, connect it to your systems, or build an agent workflow, measured from the first week.
Forward-deployed build · initial three-month engagementEvaluate
Agents already live
Find where the time and money go, score the agent on five measures and fix what matters first.
Harness Review · two to three weeksRun
Running and improving agents
Monitor agent behavior, respond to incidents, improve the system and evaluate model changes against your own cases.
Forward-deployed operations with Harness Watch · monthlyDesign
Not sure an agent fits yet
Choose the workflow worth automating, compare the ways to do it and prove a first version.
Harness Design · three weeksGo deeper
Read how we approach it.
Start a conversation
What are you building—or deciding?
Tell us what you’re building, what is getting in the way, and the outcome you need.