Services · AI Agents: Build, Manage, Scale
Agents that start supervised and earn autonomy with data.
Triage, intake, knowledge, and multi-agent systems. Drafts first, measured against a labeled test set, and promoted to autonomous one task at a time.
What you get
- ✓Agent design with structured outputs and confidence scoring
- ✓Reusable tool layer (CRM, accounting, knowledge base)
- ✓Labeled eval set and pre-release pass-rate gate
- ✓Promotion plan from supervised to autonomous
How every engagement is governed
- A named owner for every AI workflow.
- A measured baseline before anything is built.
- An approval matrix: what AI does alone and what needs sign-off.
- A failure playbook for wrong outputs and outages.
Blueprints
Related reference builds
Inbound Email Triage Agent with Eval Gating
An agent reads every inbound email, classifies it, pulls facts from your systems, and writes a draft reply for staff to approve. Nothing sends automatically until it's measured.
Make.com · Relevance AI · Gmail · QuickBooks Online · Google Sheets · promptfoo
Ops Knowledge Brain (Cited Answers from Your SOPs)
Staff ask questions in plain English and get answers drawn only from your policies and SOPs — with the source document and page cited under every answer.
n8n · Supabase pgvector · Claude · Google Drive
Document Intake Extractor (Invoices, Leases, Contracts)
Uploaded invoices, leases, and contracts are parsed into structured fields with a confidence score on each one, then written to your tracker — low-confidence fields flagged for a person.
n8n · Claude · Google Sheets · OCR
Find the three workflows worth automating first.
A 20-minute operations call. No pitch deck — we look at where your team's hours go and whether AI is the right fix.