HomeAI Integration
Flagship · Fastest path to value

Ship AI into the products
you already run.

We embed dependable copilots, autonomous agents and automations into your stack — wired with the orchestration, retrieval, evaluation and guardrails that separate a flashy demo from a system you can trust with real users.

What we integrate

Intelligence, wherever the work happens

Copilots

In-app assistants that draft, summarize and answer in your product’s voice — grounded in your data and aware of context.

Autonomous agents

Agents that plan multi-step work, call your tools and APIs, and know when to hand back to a human.

RAG & knowledge

Hybrid retrieval over your documents, tickets and code with grounded, cited, up-to-date answers.

Workflow automation

Trigger-based pipelines that classify, route, enrich and act — removing the busywork between systems.

Vision & documents

Extract structure from PDFs, images and forms — invoices to inspections — at production accuracy.

API & SDK layer

A clean internal AI service your engineers call like any other — versioned, rate-limited, observable.

The integration stack

Every layer a real system needs

We don’t just call a model. We build the surrounding system that makes AI dependable — and leave it instrumented so you always know how it’s behaving.

  • Orchestration — routing, retries, fallbacks & tool use
  • Retrieval — chunking, hybrid search & re-ranking
  • Evaluation — golden sets, LLM judges & regression gates
  • Guardrails — PII, policy, jailbreak & output validation
  • Observability — traces, cost, latency & quality dashboards
orchestrate.ts
const agent = dh.agent({
model: "router:auto", // cost-aware
tools: [crm, search, calendar],
retrieval: kb.hybrid({ k: 8 }),
guards: [pii, policy, schema],
})
await agent.run(ticket)
✔ grounded 3 sources cited
✔ eval passed (0.94)
✔ traced span → dashboard
By function

Where teams plug us in first

Support

Deflect & assist with grounded, on-brand answers and auto-drafted replies.

Sales

Research, enrich and personalize outreach; summarize calls into next steps.

Operations

Automate intake, classification and routing across the back office.

Engineering

Internal copilots over your code, docs and runbooks to ship faster.

Engagement models

Start small, scale with proof

Fixed-scope sprints to de-risk, then an ongoing build partnership when the numbers land.

Sprint
2–3 wks

A working prototype on your data, measured against a golden set.

  • Use-case & data audit
  • Working prototype
  • Eval baseline & ROI model
Book a sprint
Most popular
6–10 wks

Prototype hardened into a production system your team can own.

  • Full integration stack
  • Evals, guardrails & observability
  • Deployment & team handoff
Start a build
Partner
Ongoing

An embedded AI team scaling systems across your org, month over month.

  • Roadmap & multiple workstreams
  • Model dev when needed
  • SLA & on-call options
Talk partnership
FAQ

Questions teams ask us

Will this work with our existing stack?

Yes — we integrate via your APIs, data stores and auth. We meet your stack where it is rather than forcing a rebuild.

Whose models do you use?

Whatever wins on quality, cost and latency for your case — OpenAI, Anthropic, open-weight, or a model we train for you.

How do you keep our data private?

No training on your data without consent, PII handling by default, and VPC / on-prem deployment when required.

What do we own at the end?

Everything — documented code, infra-as-code and a walkthrough so your engineers can run and extend it.

Let’s build

Tell us the workflow. We’ll bring the prototype.

A scoped plan and timeline in your inbox, usually within a week.