A /Example workflows

What governed automation looks like.

A few examples of the kind of automation we build once a team knows its tools. Different shapes, one rule throughout: AI suggests, code verifies, a human approves.

01 /Examples

Four shapes we build often.

Deliberately high-level. The working detail is what we build and tailor to your workflow: the checks, prompts, conventions, and review gates.

Competitive scanner

Many noisy sources in, one short digest out. AI collects and summarises, automatic checks remove duplicates and unverified claims, and you review a daily digest instead of a firehose.

fig. 01 — competitive scanner

Marketing content pipeline

From brief to published content. AI drafts, automatic checks hold the brand voice and make sure every claim has a source, and a person approves before anything ships.

fig. 02 — marketing content pipeline

Source-bound research agent

Research briefs where every claim carries a citation you can click and check. Nothing gets asserted without a source behind it. Useful for market research, due diligence, and competitor analysis.

fig. 03 — source-bound research agent

Multi-agent coordination

Bigger workflows split across specialist agents, with one place to see status and a single human approval at the end. The same loop, scaled up.

fig. 04 — multi-agent coordination

Want one of these shaped around your workflow? Book a free discovery call →