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Autonomous systems engineering

AI Workflows That Do the Work, Not Just the Demo.

We turn repetitive, error-prone operations into reliable, auditable automations: multi-agent pipelines, document intelligence and system syncs that run in the background without breaking.

See pricing
  • Schema-checked outputs
  • Human-in-the-loop approvals
  • Full audit trail
Overview

Most automation breaks the first time reality changes. We engineer workflows with validation, retries and escalation built in, so they keep working when inputs are messy and edge cases show up.

By design
Deterministic

Every model output is validated against a strict schema before it touches your data.

Retries & fallbacks
Self-healing

When an API or parser fails, the workflow adapts, retries or escalates instead of failing silently.

Logs & traces
Observable

Every run is logged so you can see what happened, why, and who approved it.

The difference

Why the usual approach falls short, and what we do instead.

The typical approach
  • Brittle no-code chains that break on a minor payload change
  • Unchecked LLM prompts that invent data in your CRM or finance tools
  • No audit trail, no validation, silent failures nobody notices
  • Automations nobody on the team understands or can change
How TWJ Labs builds it
  • Strict JSON-schema validation before any database write
  • Retry loops and fallbacks that handle API and parsing errors
  • Approval steps routed to Slack or WhatsApp for edge cases
  • Documented, versioned workflows your team can own
Capabilities

What we build for you.

  • Extract, verify and file data from invoices, purchase orders, forms and contracts, with confidence scoring and review queues for anything uncertain.

How we work

From first call to a system you rely on.

Step 01

Map

We shadow the process end to end and document every step, exception and handoff.

Step 02

Prototype

A working version on real data within days, so you can judge it with evidence.

Step 03

Harden

Validation, error handling, approvals and logging make it production-safe.

Step 04

Operate

Monitoring, tuning and new workflows as your needs grow.

Where it fits

Real situations, practical outcomes.

01

Accounts payable

Hundreds of supplier invoices arrive by email in different formats.

Outcome

Fields are extracted, checked against purchase orders and queued for one-click approval.

02

Inbound sales

Leads come from forms, calls and DMs and sit waiting for a reply.

Outcome

Each is scored, enriched, answered instantly and routed to the right person.

03

Operations reporting

Managers rebuild the same status report from five tools every week.

Outcome

A scheduled workflow compiles it and flags exceptions automatically.

Tools & stack
  • OpenAI
  • Anthropic
  • n8n
  • Python
  • TypeScript
  • PostgreSQL
  • WhatsApp API
  • Slack
  • Zapier
  • Webhooks
Questions

Answers before you ask.

No-code chains are fine for simple handoffs. We build for the cases they struggle with: unstructured inputs, decisions that need judgment, validation and approvals, and systems that must not fail silently.

Next step

Let's scope your ai workflows project.

A 15-minute call is enough for us to tell you honestly what is worth building, how long it takes and what it should cost.