Compliance research agent
Data-protection compliance assessments where a research agent browses the web and flags gaps, and a lawyer approves every finding.
AI agents that do real work, with a person approving what matters.
We build agents that take a business process end to end: they read the inbox, research, draft and file. Anything risky waits for a person, and every step is logged.
WHAT WE BUILD
Built around your workflow.
Most AI projects stall between the demo and production. The demo answers a question; production has to act on your records, follow your rules and be safe to leave running. That second part is the work we do.
We build agents to be scoped and checked. An agent reads only what the person using it is allowed to see. Prices, discounts, dates and promises are checked against your own rules before anything goes out, and the risky ones wait for a person to approve.
We pick the model per task, Claude or GPT, and wire it into the systems you already run: your CRM, inbox, ERP or a database we built for you. The agent is one part of the system, not a chat window on the side.
SYSTEMS WE BUILD
Lead triage and reply drafting
Research agents with human sign-off
Document intelligence
Assistants grounded in your own data
Monitoring and alerting agents
Agent tooling
BUILT AND RUNNING
Systems in production. Not slideware.
Client work is described by the business, not named, until the client clears it.
OUR PRODUCT — HR
CLIENT — LAW FIRM
CLIENT — MARKETPLACE SELLERS
CLIENT — LEGAL MEDIA
Ziva in ZivoHR
An HR assistant that answers from each person's own record and prepares their leave or expense request for them to confirm. It never sees anyone else's data.
Reconciliation assistant
An assistant that answers a marketplace seller's questions from their own reconciliation data: fees, overcharges and claims, with every transaction audited rather than sampled.
Daily legal digest
Sources scraped every day, de-duplicated and sorted by a model into seven practice areas, delivered as a PDF.
HOW A PROJECT RUNS
Two-week cycles. Working software every one.
Listen
We map workflows the way they actually work — not the way the org chart says they do.
Architect
We design the smallest system that solves it. Boring tech. Sharp decisions.
Build
Two-week iterations. Working software every cycle. No 6-month silent builds.
Operate
We stay on as engineering partners — not vendors who disappear after handover.
WHAT IT COSTS — $4,999 PER TWO-WEEK BUILD CYCLE
AI agent workflow
QUESTIONS
What buyers ask us first.
- How much does an AI agent cost to build?
- A production agent workflow is usually 2 to 3 two-week cycles, $10k to $15k at $4,999 a cycle.
- How do you stop it from making things up?
- The agent answers from your records, not from memory, and its output is checked against your rules before it can act. Anything with a price, a date or a promise in it waits for a person.
- Which models do you use?
- Claude and GPT, chosen per task. The rules, orchestration and audit trail live in your code, so you can change model provider later.
- Where does our data go?
- The agent reads only what the person using it can already see. Every draft, edit and approval is logged with who did it.