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What we build

Agents that take real work off your team.

Some work is too specific for an off-the-shelf tool. We build agents around the steps your team actually follows and the systems it already uses.

Common starting points

The work we automate

📄 Document agents

Route documents without manual triage

Invoice data should pass your checks before it reaches an ERP. Our document agents pull fields from each file. When a check fails, the agent routes the exception to a person before writing the record.

Examples

  • Invoice processing → ERP
  • Contract review flagging
  • Email triage and routing
  • Form data extraction

🔍 Data retrieval agents

Answer questions from your own data

Ask 'Which deals are at risk this quarter?' For a team using Salesforce, the agent checks CRM records alongside warehouse data. It links the answer to the records it used.

Examples

  • Natural language queries over your data
  • Automated report generation
  • Cross-system reconciliation
  • Board deck data pulls

⚙️ Workflow agents

Automate the sequences that eat your team's time

People lose time copying data between tools and chasing approvals. A workflow agent handles the routine moves. Your approval rules still govern consequential actions.

Examples

  • Approval routing and chasing
  • Onboarding sequence automation
  • Cross-system data sync
  • Recurring ops tasks

Our approach

Built around your real workflow

The usual story

Pilots that never ship

A clean demo proves little. We test with the data and exceptions your team deals with before launch.

The usual story

Vendor lock-in

You choose where the agent runs. You own what we build for you, and we explain the platform and support terms up front.

The usual story

Separated sales and delivery

The engineers you meet at the start stay involved through launch. Ask them about the workflow or the architecture directly.

Stories from production deployments

Workflows in plain language An adaptive execution engine for Auxi Labs Read case study → Recurring work automated Input checks and reviewable completion reports Read case study → Answers from council data Council staff now query their own data Read case study →

How we work

From first session to launch

  1. 01

    Discovery

    We follow the work from start to finish with the people doing it. The handoffs and workarounds tell us what to build.

  2. 02

    Design

    We decide what the agent does and where it runs. Before coding, we set approval rules and pick a measure your team can check after launch, such as time saved.

  3. 03

    Build

    Our engineers connect the agent to your systems and test it with real examples, including the awkward cases. Your team sees the failures and fixes as we go.

  4. 04

    Deploy and improve

    We launch in the environment you choose and watch how the agent performs. We make changes based on real runs. The agent is yours, and we agree on support terms with you.

A useful first conversation

Where does the work get stuck?

Bring the workflow people actually follow, including the workarounds. We will trace where it gets stuck. Then we will agree on the approvals and one result to measure after launch.

Map a workflow with our engineers

Talk directly with the engineers who build the agent.

Discuss a Workflow