Production AI agentsinside your software.

Not bolt-on chatbots. Agents that do the work — intake, booking, triage, review, forecasting — embedded inside the system your team actually uses. Scoped against a real, expensive problem before we touch a model.

Terms

70%
of inbound inquiries handled by AI (MedPath)
75%
inquiry deflection rate (BrightSmile Dental)
65%
reduction in contract review time (LexVault)
40%
stockout reduction via demand forecasting
Code on two monitors in a dark room

What you get

What you get.

  1. Customer-facing agents

    Intake, booking, triage, and Q&A agents that handle the volume your team can’t. Deployed for healthcare (MedPath, ClinicWise), dental (BrightSmile), and law (LexVault). 70–75% of inbound deflected on day one.

  2. Internal workflow agents

    Document classification, approval routing, invoice processing, lead scoring, data extraction. The repetitive admin work your team does manually — handled by an agent that lives inside your software.

  3. Predictive analytics

    Demand forecasting (40% stockout reduction at retail scale), churn detection, anomaly alerts, and capacity planning. Models tuned on your data, not generic SaaS dashboards.

  4. Document intelligence pipelines

    Contract review, medical record summarization, HR file processing, regulatory filings. The kind of work that took LexVault’s legal team 65% less time after we shipped.

  5. Domain-specific fine-tuning

    Not a generic LLM with a system prompt. Agents trained on your terminology, your edge cases, and your escalation paths — so they sound like your team, not a chatbot pretending to be human.

  6. Drop-in agents for existing software

    Already have a CRM, EHR, or admin panel? We add agents on top — inside the platform your team already uses. No rip-and-replace.

How we approach it

How we approach it.

  1. Start with the problem, not the model

    Before any code is written, we map the workflow, identify leverage points, and define success in measurable terms. AI is a tool — the value comes from applying it to the right problem with precision.

  2. Train and fine-tune on your domain

    A general-purpose AI knows a bit about everything. We configure, train, and fine-tune AI on your documents, procedures, and terminology so it responds accurately within your context and doesn't hallucinate outside it.

  3. Integrate into what you already use

    AI that lives outside your workflow doesn't get used. We connect AI directly to your booking platform, EHR, CRM, or internal dashboard — an intelligent layer on top of what already works.

  4. Deploy, measure, and improve

    We ship to production with monitoring in place. As you feed the system more context and real usage data, it gets smarter. We stay engaged post-launch to tune, retrain, and extend.

Methodology

Built on the Minimum Scalable Product methodology.

Scalable architecture from day one. No throwaway prototypes. No rebuilds in 12 months. The reason 70+ shipped products have zero failed launches.

Related work

Got something to build?

Tell us what you're building. We reply within one business day with a thesis, a plan, and a fixed quote.

No retainer lock-in · Transparent pricing