Hours back every week
Quoting, data entry, reporting and follow-ups run themselves.
GPTn8nZapier
01
Why it matters
What this actually changes for you.
Predictable cost
Token budgets, caching and model routing keep spend flat and visible.
Safe by design
Scoped keys, audit trails and approval gates on anything that touches money.
02
Tech we use
The stack behind the work.
Chosen for longevity and hand-over, never for novelty.
Models
- GPT-5
- Claude
- Gemini
- Llama (self-host)
Orchestration
- n8n
- Zapier
- Make
- Temporal
- LangGraph
Data
- Postgres
- pgvector
- Pinecone
- Supabase
Ops
- Webhooks
- Cron
- Token budgets
- Audit logs
03
What you get
Deliverables, in plain language.
Every item below is scoped into the sprint plan before we start.
- 01Process map with hours-saved estimate per workflow
- 02Agent + prompt architecture with guardrails
- 03Integrations to CRM, sheets, email, WhatsApp, ERP
- 04Human-in-the-loop approval steps
- 05Cost dashboard and failure alerting
- 06Runbook + training for your team
04
How we run it
From kickoff to compounding.
01
Shadow
We watch the real process and time every step.
02
Prototype
One workflow automated end-to-end in week one.
03
Harden
Retries, logging, evals and fallbacks before scale.
04
Expand
Roll the pattern across teams and measure hours reclaimed.
05
FAQ
Questions we always get.
Where does our data go?+
Into your infrastructure. We can run open models self-hosted where data residency matters.
What if the AI gets it wrong?+
Confidence thresholds route edge cases to a human queue instead of guessing.
Let's scope your ai automations project.
Tell us the goal. We'll come back with scope, timeline and a fixed price.