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AI agents for work that crosses tools

A fixed automation follows a script. Some jobs change shape as new information comes in. We build agents for those jobs: they can look things up, call approved tools and keep going, while people hold the decisions that need judgment.

  1. 01Request arrives
  2. 02Read and check sources
  3. 03Use approved tools
  4. 04Review or finish

Where an agent earns its place

Start with a task that already has a clear owner and a visible finish line. That gives us something real to test.

Support triage

Read an incoming ticket, find the account and relevant help material, suggest a response, then send uncertain cases to a person.

Lead research

Pull together what your CRM already knows, check the public details you care about, and give a salesperson a short, sourced briefing.

Multi-source research

Follow a question across documents and sites, collect the evidence, and show the links behind each proposed finding.

A run you can inspect

Set the tool boundary

We name the systems the agent may read and the actions it may take. Anything outside that list stops at a human approval point.

Test the awkward cases

Real tasks include missing records, duplicate names and sources that disagree. We replay those cases before the agent gets near a live queue.

Keep the evidence

The run records its sources, tool calls, cost and final decision. A reviewer can trace what happened without trusting a summary.

The checking matters as much as the search.

On Defense.Direct, a searching model proposes a company fact. A fetched citation decides whether that fact reaches the published profile. The same separation between proposal and verification shapes our agent work.

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What stays in your hands

We decide the handoffs before the first run, then make them visible in the product.

External actions

Sending a message, changing a record or publishing a claim can require approval before it happens. You choose where that line sits.

Cost and failure

We set spend limits, timeouts and a clear stop condition. Failed runs remain visible, with enough detail to fix the cause.

Ownership

Tool access, model choice and review rules are documented for your team. They can change a provider without rebuilding the workflow.

Show us the job that keeps crossing tabs.

Tell us what starts it, which tools are involved and where a person has to decide. If a plain automation would do the job, we will say so.

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