AI agent & automation studioFrom first call to production in two weeks

We build the agents that do the work.

Your team spends hours on work a well-built agent can do. We find it, build the agent, and run it in production, so your people get their time back for the work that needs them.

Watch one run
Map
Find the work worth automating
01
Build
Live in production within two weeks
02
Run
Operate, measure, improve
03
Any model. Same system.

We build around your workflow, not around one vendor's API.

OpenAIAnthropicGoogleDeepSeekMistralOllamaMeta
01 · Services

What we build, and run.

Three ways in: automate the work your team repeats, build the product around it, or train a model of your own when an off-the-shelf one stops being enough.

/01Automate

AI agent development

Goal-driven agents with tools, memory and hard guardrails. They read your systems, take actions, hand off to a human when confidence drops, and log every decision they made.

  • Tool use
  • Memory
  • Guardrails
  • Human handoff
/02Automate

Workflow automation & integrations

The unglamorous plumbing that makes the rest possible. n8n, queues, retries, idempotency, webhooks and the twelve edge cases nobody wrote down.

  • n8n
  • Queues
  • Retries
  • Webhooks
/03Automate

RAG & internal knowledge

Answers with citations, or no answer at all. Chunking, hybrid retrieval, permissioning that respects who is allowed to see what.

  • Citations
  • Hybrid search
  • Permissions
/04Build

LLM apps & MVPs

Full products, not demos. Streaming interfaces, model routing, cost ceilings, offline evals and a deployment story your team can maintain.

  • Streaming
  • Model routing
  • Cost ceilings
  • Evals
/05Train

Custom & fine-tuned models

For when a prompt stops being enough. Models fine-tuned or distilled on your own data, measured against the off-the-shelf baseline, and hosted wherever that data is allowed to live.

  • Fine-tuning
  • Distillation
  • Open weights
  • Private hosting
02 · Process

From free audit to production.

Four phases, each with something you keep at the end. The audit is free; everything after it is fixed-price, quoted up front. First call to production in two weeks, at most.

01Days 1–2 · Discovery

Audit

A free 30-minute call, then a working session on your real process. We map the workflow, count the handoffs and rank what is actually worth automating.

→ workflow map, ranked list
02Days 3–4 · Strategy

Roadmap

What we build first and what it replaces. Where your data is allowed to go, which models run where, and a fixed price for each phase before anyone writes code.

→ roadmap, fixed quote
03Days 5–14 · Build

Implementation

Agent, tools, guardrails and the boring reliability work. Shipped behind a flag to one team, with evals, traces and cost caps on from the first request.

→ pilot in production
04Ongoing · Optimize

Operate or hand over

We watch it settle, tune the thresholds and extend it to the next workflow, or teach your engineers the whole thing and leave. Both are fine outcomes.

→ runbook, handover
03 · Live run

Watch one run.

A customer emails about a double charge. Follow the agent through each step, from reading the email to sending the refund. A person steps in only when it isn’t sure.

refund request · example runillustrativeready
  1. Email arrivesinbox
  2. Sent automatically Person reviews
The customer asks
Dana Whitfield
dana@northfield.example
Charged twice?

Hi, I think I was charged twice for invoice #4471 on the 3rd. Can you fix it before our month-end close on Friday? Thanks, Dana

What the agent is doing

Waiting for a ticket…

The answer

Nothing written yet.

waiting...
04 · Stack

Every tool your engineer arrives with.

The kit we build and run with, and a straight answer on who pays for what. Anything billed by usage or holding your data goes in your name, so you own it outright when we step back. The rest is open source.

  • Anthropic API
    Claude models
    Your account
  • OpenAI
    GPT models
    Your account
  • Google Gemini
    Long-context, multimodal
    Your account
  • Ollama · Llama · Mistral
    Open weights, on-prem
    Open source
  • MCP servers
    Tool access for agents
    Open source
  • n8n
    Workflow automation
    Open source
  • Temporal
    Long-running jobs
    Open source
  • Zapier
    Quick SaaS glue
    Your account
  • Postgres + pgvector
    Store and search
    Open source
  • Supabase
    Managed Postgres
    Your account
  • Pinecone
    Vector search at scale
    Your account
  • Unstructured
    Document parsing
    Open source
  • AWS
    Private workloads
    Your account
  • Vercel
    Apps and endpoints
    Your account
  • Cloudflare
    Edge and workers
    Your account
  • Docker
    Portable deploys
    Open source
Plugs into what you already pay for
  • Slack
  • Microsoft 365
  • Google Workspace
  • HubSpot
  • Salesforce
  • Stripe
  • Zendesk
  • Notion
  • Jira
  • + anything with an API
05 · FAQ

The awkward questions.

Straight answers to what people usually ask on the second call.

01How do you actually work with our team?

Embedded. Our engineers sit in your standups, work in your repositories and ship through your review process, so the context stays with your team and the work doesn't arrive over the wall at the end. You get the leverage of a senior AI hire without adding headcount.

02What happens when the agent gets it wrong?

It's designed to get things wrong quietly and visibly. Confidence gates, allow-lists on side effects, dry-run modes, and a full trace of every tool call. Anything irreversible needs a human, by default, until you decide otherwise.

03Does our data go to a model provider?

Only if you want it to. We build against your keys and your accounts, and where policy or regulation says data stays in, we run open weights on your infrastructure instead. That decision gets made in week one, not discovered in month two.

04Who owns the code?

You do, from the first commit, in your repositories. No wrapper platform, no per-seat license on your own automation, no hostage situation if you'd rather take it in-house.

05What does it cost?

Fixed price per phase, quoted after the audit, so you're never buying an open-ended hourly commitment. The first call is free, pilots are deliberately small, and if the audit says automation is the wrong tool, we say so and there's nothing to buy.

06How soon can we start?

The audit is a 30-minute call and then a working session on your real process. Build work starts as soon as the roadmap and the fixed quote are signed off, and the whole path from first call to production takes two weeks at most.

06 · Next step

Bring your worst workflow.

Thirty minutes, no deck, no sales pitch. Describe the process, we'll tell you where an agent fits, where it doesn't, and what your first two weeks would look like.

hello@intellectiq.dev