Systems integrations
Wiring LLMs into the sources 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.
AI consulting for mid-market direct lenders
We help you build on
Claude
OpenAI
Gemini
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.
Our approach
A staged process —
not a black box.
Four sequential stages, so we ensure alignment as we move forward together.
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01 — Assess
Opportunity assessment
We sit with your team, map your current workflows, identify AI-driven opportunities, and rank them by impact, feasibility, and risk. You leave with a prioritized roadmap and can decide whether to proceed to a design partnership.
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02 — Design
Design partnership
We pick one or two workflows and co-design the solution with the operators who'll use it. Prompts, data flows, guardrails, and user interface — shaped by your team, not imposed by ours.
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03 — Build
Implementation
We get the application built, validated, and deployed to production, with all governance and internal control procedures satisfied. We'll work diligently with your team to drive adoption and create a long-term ownership model, ensuring the solution provides actual value.
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04 — Sustain
Follow-up
We don't disappear after launch. We monitor accuracy, cost, and performance — the critical qualities you expect from a sustainable solution. As needed, we'll review audit trails together to identify areas for further optimization.
Why us?
The unglamorous bridge
between a demo and a system.
We do the work most resource-strapped AI projects gloss over.
Workflow and context engineering
Prompting a chatbot out-of-the-box leads to mediocre outcomes. Getting the model the relevant information and orchestrating the end-to-end process requires disciplined engineering and validation.
Compliance and cybersecurity reviews
Regulated lenders can't ship vibe-coded apps. We harden every deployment with the controls your auditors, IT team, and credit committee require.
Quality assurance
Frontier models can hallucinate and drift from the user's intent. Building trust requires benchmarking model outputs against historical work artifacts. We help you curate an "eval set" for measuring the accuracy and quality of the outputs.
Contact
Let's talk.
We work with direct lenders and BDCs that 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, build, or deploy it — that's where we start.