Service / AI Implementation Services
AI that ships work, not demos.
We put language models and agents inside your actual workflows — drafting, routing, extracting, answering — with guardrails a CFO can love and an auditor can read.
Start where it pays
We don’t begin with the model; we begin with the hour sheet. Which repeated work costs you the most? That’s where the first agent goes.
Grounded, not guessing
Your documents, your data, your tone. Retrieval pipelines keep answers anchored to your truth — hallucination is an engineering problem, and we treat it like one.
The gold gate is a person
Agents run to the edge of judgment, then stop. The moments that matter wait for a human — by design, every time.
Evaluation harnesses, retrieval pipelines, cost ceilings, fallbacks — the unglamorous parts that make AI dependable.
Interfaces where human + agent feel like one team: approvals that take a glance, drafts that sound like you.
The model is 20% of the work. The other 80% — trust, tone, and the seam between human and machine — is where we live.
Why it works
Measured in hours saved
Every deployment ships with a before/after metric. If it doesn’t save time, it doesn’t ship.
Audited & reversible
Every agent action logged, every automation with an off switch. Trust is a feature.
Your data stays yours
Private pipelines, vendor-neutral architecture, no training on your secrets.
Compounds monthly
Agents learn your edge cases; the system gets sharper the longer it runs.
Selected work
Representative projects — concept work written in the site's voice to show the shape of an engagement, not client case studies. Real case studies are being prepared.
Counsel Desk
Classifies, summarizes and routes 400 inquiries a week. Lawyers read summaries, not inboxes.
Quartermaster
Reads quotes, flags anomalies, drafts POs. The buyer approves with one keystroke.
Questions we hear most
What can an AI agent actually do for my business?
Answer and route calls, process orders, check stock and place vendor orders, extract data from documents, draft replies and reports, and handle first-line objections — each with a human approval gate where the stakes are high.
Which AI models do you use?
We choose per task: frontier models for reasoning and drafting, smaller or self-hosted models where cost, latency or data residency matter. The architecture is model-agnostic so you are never locked in.
Is our data used to train AI models?
No. We use business-tier APIs or self-hosted models where your data is not used for training, and we document exactly what each agent can see and do.
How do you prevent AI hallucinations?
Agents are grounded in your own data (retrieval), constrained to specific tools, logged on every action, and gated by a person for anything irreversible. Accuracy is measured before rollout, not assumed.
