Agent systems for operations.

Agentic workflows doing real work inside your business — proposals from agents, decisions from people. A scoped pilot first, measured before anything scales.

What the practice does

  1. Process mapping & agent design

    We sit with the actual work — tickets, documents, handoffs — and map where an agent genuinely helps and where it should never be. The design names each agent's job and its limits.

  2. Human approval-gate architecture

    Every workflow ships with gates: a named person approves or stops each step. The gate is architecture, not a promise — the system cannot skip it.

  3. Integration with your existing stack

    Agents work inside the systems you already run. Your accounts, your data boundary, no rip-and-replace.

  4. Run & measure, then scale

    The pilot runs on real work with real numbers. What measured well scales; what didn't, stops. The decision is yours, on evidence.

The shapes we build most

Agentic workflows with human gates
Multi-step work — reading, deciding, acting across tools — with a person signing every consequential step. TheVibeManager
Assistants over your own data
Retrieval-grounded answers from your documents and records — the assistant cites what it read, inside your boundary.
Document processing & extraction
Unstructured files in, structured records out — checked by sampling, not by faith.
Generation pipelines
Long-form output produced in stages with review points — the pattern behind our own publishing product. InkSmith
Named specialist agents
Agents with one job each and a memory layer — the architecture all five of our products share. FameX

The stack this practice runs on

Agents & models Claude liveClaude Code live
Backend Node livePython liveDjango liveFastAPI live
Data & retrieval Postgres livepgvector liveRedis live
Evals & machine gates Playwright liveLighthouse live

Marks are the honesty grammar: ● in production in our products or our own shop · ◐ under evaluation. Beyond these: the major model providers — vendor-honest, not vendor-loyal.

Every engagement runs the same method: an agent proposes, a person approves. Read the method →

Asked about this practice

How does an agent-systems engagement start?

One week of discovery. We map the process, the data and the risk — and the week ends with a plan and a price, in writing.

What does the pilot cost?

Fixed scope, fixed cost, agreed before work begins. We don't publish a rate card because pilots differ; we do put the price in writing in week one.

Can agents touch our production systems?

Only through the gates. Agents propose; a named person approves anything that ships or changes production. That rule has no exceptions — it is the method.

What happens to our data?

It stays inside the agreed boundary. Your accounts, your IP, and your data never train anything of ours.

The proof is not a slide. Every product we ship runs this exact architecture. Open the products →

The signal · the first conversation is free — and taken seriously

Tell us what you're building.

Made with love in Naya Bharat