We Fix Your Processes. Then Make Them Autonomous.
We don't automate broken processes. We audit your workflows, fix what's broken, then build agentic systems that handle the work autonomously.
The Problem
Sound Familiar?
95% of enterprise AI projects fail. Not because the technology doesn't work, but because nobody fixed the process first.
You Automated a Broken Process
Your workflow has tribal knowledge, inconsistent data, and manual workarounds. Layering automation on top just makes the dysfunction faster.
The Demo Worked. Production Didn't.
Your vendor showed a perfect demo with clean data. Real data, real volume, real users broke it within the first week. Now the project is shelved.
Your Vendor Built It and Disappeared
No training, no documentation, no one to call when the system needs updating. You're paying your team to babysit a system you don't understand.
The DOE Framework
Reserve LLMs for Judgment. Let Code Handle the Rest.
This architecture makes workflows debuggable, auditable, and self-annealing.
Directive
Markdown-based SOPs that define the task. What to do.
Orchestration
LLM routing that interprets directives. How to coordinate.
Execution
Deterministic Python scripts. Actually doing it.
| 01 | # INVOICE PROCESSING SOP |
| 02 | |
| 03 | 1. Extract vendor name, date, and amount. |
| 04 | 2. If vendor exists in DB, map to ID. |
| 05 | 3. If amount > $10,000, flag for human review. |
| 06 | 4. Route anomalies to exceptions queue. |
| 01 | // LLM only used for judgment |
| 02 | const decision = await llm.evaluate({ |
| 03 | prompt: "Does this invoice match the expected vendor format?", |
| 04 | context: currentInvoice, |
| 05 | directives: sop.rules, |
| 06 | }); |
| 07 | |
| 08 | if (decision.isAnomaly) { |
| 09 | await queue.push("exceptions", currentInvoice); |
| 10 | } |
| 01 | import modal |
| 02 | |
| 03 | @app.function() |
| 04 | def process_approved_invoice(invoice_data): |
| 05 | # Deterministic execution. No LLM calls here. |
| 06 | erp_client = ERPClient(api_key=secrets["ERP_KEY"]) |
| 07 | |
| 08 | erp_client.create_record({ |
| 09 | "vendor_id": invoice_data["vendor_id"], |
| 10 | "amount": invoice_data["amount"], |
| 11 | "status": "APPROVED", |
| 12 | }) |
| 13 | |
| 14 | return {"status": "success", "record_id": invoice_data["id"]} |
Proof, Not Promises
Real Systems in Production
Academic Research Pipeline
Fully autonomous document processing pipeline used by researchers. 1,300+ academic papers analyzed and enriched.
Visit the websiteIs This For You?
We Work With Leaders Who Are Done Experimenting
Your Situation
“Your team spends 60% of their time on tasks that should be automated. Manual data entry, document processing, report generation. They're burning out on work that doesn't require human judgment.”
What We Do About It
We audit your workflows, find the 20% of processes causing 80% of the pain, and build systems that handle them autonomously. Your team focuses on strategy, not spreadsheets.