Critical Propulsion
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Case StudiesCritical Propulsion3 min read

Human-Led Agentic Delivery, Proven for the Enterprise

A Big Four professional services firm wanted a real test of agentic delivery. We took its product owner's spec to a working, enterprise-grade product in eight weeks.

A Big Four professional services firm's product owner had spent months testing product ideas through vibe coding across AI platforms. One idea, an intelligence engine, was the one he had written his own spec for and wanted built for real. He wanted a real test of agentic delivery: take the spec, turn it into requirements, and build it quickly with humans and agents in a responsible way.

The firm's own read on its prior AI work: valuable, but not technically deployable in an enterprise environment.
What we built

    An engine for client signals

  • It reads client-engagement signals (meetings, feedback, activity, budget) across disconnected systems.
  • It shows a partner which clients need attention early, with the evidence behind every call.
  • It serves any client-serving organization.
Evidence over a score

    A trend you can drill into

  • A score alone tells a partner little. What matters is the direction, and why.
  • Evidence shows the business where to focus, early enough to mitigate risk before it escalates.
  • Every call traces down to its evidence.

Vibe Coding vs. Human-Led Agentic Delivery

Vibe codingHuman-led agentic delivery
OwnershipWhoever prompted itNamed people own every gate
Done meansThe demo runsAcceptance criteria, code review, human sign-off
ProgressA demo, when it's readyA walkthrough of the running system every Pulse
What you getDemos that stay demosSoftware an enterprise can run

The Outcome

We delivered a working, enterprise-grade product through human-led agentic delivery in eight weeks, a fraction of the time traditional, non-agentic development would have taken, without giving up the rigor enterprise delivery requires.

Delivered in eight weeks
  • Seven components, a connector and an admin console
  • Six of seven running at the first milestone, ahead of what was committed
  • Started the day the spec arrived
Client satisfaction, in real time
  • The business measures client satisfaction as signals arrive
  • Partners see where to focus while there is still time to act
  • Insight lands in the firm's existing tools, with no new portal
Flexible by design
  • Component-based: each practice adopts what it needs
  • Deploys in or out of the client's environment
  • Not tied to one AI platform; new signals can be added without a rebuild
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