AI consulting for mid-market direct lenders

We help you build on Claude.

Systems integrations. Compliance and cybersecurity reviews. Quality assurance. There's a real difference between a vibe-coded app and a production-ready solution — Acuity does the heavy lifting so you can capture the upside of AI while staying focused on what makes your business exceptional.

The unglamorous engineering
between a demo and a system.

Frontier models are easy. Production engineering is hard. We do the work most AI projects skip — and that most regulated lenders can't afford to.

01

Systems integrations

Wiring Claude into the tools you already run — portfolio databases, document repositories, deal pipelines, CRMs. We do the plumbing so the model lands inside the workflows your team uses today.

02

Compliance & cybersecurity reviews

Regulated lenders can't ship vibe-coded apps. We harden every deployment with the controls your auditors, IT team, and credit committee actually require — data residency, prompt-injection defense, audit logging, the lot.

03

Quality assurance

Frontier models hallucinate, drift, and surprise. We design the eval harnesses, regression tests, and human-in-the-loop checkpoints that catch failures before your borrowers or auditors do.

How we work.

Four stages, lightweight to heavy. Each one earns the next — so you're never further in than the value you've seen.

  1. 01 — Assess

    Opportunity assessment

    We sit with your team, map the workflows where AI moves the needle, and rank them by impact, feasibility, and risk. You leave with a prioritized roadmap — whether or not we proceed together.

  2. 02 — Design

    Design partnership

    We pick one workflow and co-design the solution with the operators who'll use it. Prompts, data flows, guardrails, and interface — shaped by your team, not imposed by ours.

  3. 03 — Build

    Implementation

    We build, integrate, harden, and ship. Production code, running in your environment, against your data — with the runbooks and documentation your IT team actually needs.

  4. 04 — Sustain

    Follow-up

    We don't disappear at launch. We monitor performance, retune as models update, and stand up the next workflow when you're ready. Continuous improvement, not a hand-off.

Let's talk.

We work with direct lenders and BDCs in the $500M–$10B AUM range who want to deploy AI without staffing up an in-house engineering team. If you've got a workflow that feels ripe for automation and you're not sure how to scope, evaluate, or harden it — that's where we start.