> Practical AI baked into the systems your team already uses. Workflow automations, custom GPTs, document AI, agents, internal copilots — scoped to one job, shipped in weeks, measured in hours saved.
AI Business Tools are scoped solutions to problems your team already has — the report nobody wants to write, the inbox triage, the proposal drafting, the spec extraction, the customer support tier-1. We pick the highest-leverage one and ship it in weeks.
No multi-quarter "AI transformation" decks. No copy-paste GPT wrappers. No vendor that vanishes after handoff and leaves you with a Replit project nobody can debug. Built on the stack your team already runs — Slack, Notion, HubSpot, Google Workspace, Jira, your data warehouse — not a parallel universe.
Audit. Pick the win. Ship it. Train the team. Iterate. Repeat with the next one.
Before you buy a single license. Where AI fits in your business, where it doesn't, and which one tool would save the most hours fastest. Tight scope, ranked by ROI.
The audit alone pays for itself — most teams have 3–5 obvious automation wins they've been ignoring while chasing a chatbot.
The boring, high-ROI work. Connect the tools you use, drop AI in the parts that need judgement, kill the manual copy-paste. Make / n8n / Zapier with LLMs in the middle.
One well-built workflow saves a person 5–10 hours a week. Five workflows saves a head count.
Internal copilots that know your business — your tone, your data, your guardrails. Built on OpenAI / Anthropic / Azure with proper retrieval, eval and access control.
A well-scoped internal copilot replaces 30% of a knowledge worker's research + drafting time. Not magic — just leverage.
Drowning in PDFs, contracts, specs, transcripts. We turn document piles into searchable, queryable knowledge — with citations, so nobody trusts a hallucination.
If your team Slacks the same five questions every week, that's a knowledge tool waiting to happen.
The unsexy part that determines whether AI tools survive past launch. APIs, monitoring, governance, eval, cost control, hand-off to your team. Production-grade, not vibes.
Most internal AI tools die because nobody owns ops. We do, until your team is ready to take the keys.
Workflow + tooling review. Where the time goes, where the leverage is. Ranked list of opportunities.
Pick the highest-ROI win. Define inputs, outputs, success metric, edge cases. Signed off before build.
Workflow, agent, or tool built on your stack. Eval harness, guardrails, logging baked in from day one.
Roll out behind a feature flag to a pilot user group. Watch logs. Fix the thing that breaks first — always something.
Loom walkthroughs, internal docs, and a live session with the team. They own it before we leave.
Monthly evals, cost review, prompt + retrieval tuning. Pick the next tool. Repeat.
Pricing depends on scope — number of integrations, data volume, eval requirements, whether RAG is involved, and how regulated the data is. We shape a fixed price once we understand what "done" looks like.
"BT shipped a contract-extraction tool that saved our ops team 25 hours a week — we'd been trying to build it internally for nine months."
Audit takes 1–2 weeks. The first scoped tool typically lands in production 2–4 weeks after sign-off — so you're seeing real value inside month one. Anyone promising a custom AI agent in two days is shipping a demo, not a tool.
Because builds vary wildly. A scoped Slack workflow with three integrations is a different beast to a RAG copilot over 50k contracts with role-based access. Pre-baked tiers either under-deliver or over-charge. We scope then quote.
Whatever fits. Anthropic Claude, OpenAI GPT, Google Gemini, open-source via Bedrock or Together. We pick per use case based on cost, latency, and quality — and route through a gateway so you can swap without a rewrite.
Enterprise-tier API agreements (no training on your data). PII redaction at the gateway. Role-based access on retrieval. SOC 2 / GDPR-aligned data flows. We won't ship anything we wouldn't run on our own data.
Sometimes — if a chat UX is genuinely the right interface. Often it isn't. A button in HubSpot, a Slack slash-command, or a scheduled job that drops a Notion page is usually higher leverage than another chat window.
Whatever you already run. Make.com / n8n / Zapier for workflows. LangGraph / DSPy for agents. Pinecone / pgvector / Qdrant for retrieval. Langfuse / Helicone for evals. Slack, Notion, HubSpot, Google Workspace, Salesforce — all fair game.
Yes. Source in your GitHub. Infra in your cloud accounts. Prompts and eval suites versioned in your repos. The retainer is for ops + iteration — you're never locked in to keep us around.
Every tool ships with a success metric defined in the scope. If it doesn't hit — we iterate on us, not on you. Fixed-price means fixed-price.
Drop a brief. We'll come back inside 48h with a shape, a price, and a start date — or questions if we need more to scope the build properly.