Operational Audit
Most AI engagements start with a model. Ours starts with a map. Before we architect a single agent, we trace the workflow end-to-end - the requests, approvals, handoffs, exceptions, and bottlenecks. The output is a working operational map and a scoped build target your team can defend.
FEATURE 01
We shadow the work, not interview it.
We sit with the team that actually runs the workflow today. Not a one-hour stakeholder interview - a week of shadowing the people doing the work, including the parts they don't think to mention because it's just how things run. Output: a documented map of how the workflow actually operates, including the implicit rules nobody wrote down.
FEATURE 02
We build a friction inventory, not a wishlist.
Every workflow has friction. Some of it is solvable with AI today. Some of it isn't. We rank every friction point in the workflow by operational cost and AI feasibility, then tell you which is which. Output: a prioritized list of bottlenecks with feasibility scoring - and the ones we'd recommend fixing without an agent.
FEATURE 03
We hand you a scoped build target with payback math.
The audit ends with a specific recommendation: the agent we'd build first, the timeline to ship it, the success metric, and the projected Year 1 payback. If we can't see a path to production within 12 months of payback, we tell you. Output: a build-ready scope your CFO can defend, or an honest "not yet" with the reasons why.
BY THE NUMBERS
Numbers that speak for themselves
2 wks
Standard audit duration
40+
Hours of operational shadowing
1
Build target scoped per audit
12 mo
Maximum payback window we accept
The future is here.
Is your business ready?
Accelerate into the future with production AI agents, built to last.
