AnswersAI transformation
In short
In 90 days, a company can go from a shortlist to one workflow running in production and measured against a baseline. Spend the first weeks choosing the work and recording today's numbers, connect the systems in place, build and run the first workflow on real work with approvals and an audit trail, then measure it and pick the next two on the same platform.
Shortlist workflows with volume, clear rules and a tracked number. Pick one, name its business owner and record today's cycle time, cost, quality or revenue.
Connect the systems the workflow touches, in place, with permissions intact, and model the objects, rules and approvals it depends on. Security reviews the platform at the start.
Build the agents and the app with the people who do the work. Run it on real cases with approval gates on consequential actions and every step in the audit trail.
Measure against the baseline, fold corrections into instructions and evaluations, and choose the next two workflows to build on the same connections and model.
One workflow in production with a measured result, a platform the next workflows reuse, security approval for a defined scope, a team that knows how to supervise and improve its agents, and a plan for the next quarter based on what the first workflow proved.
Fig sets the strategy in weeks, its forward deployed engineers build on CosmOS with the company's team, and Fig Academy trains the people who will run it. Every engagement ends in running software measured against the baseline.
Yes, for one well-chosen workflow built in production on real systems. The transformation is the sequence of workflows that follows.
One with volume, clear rules, a number leadership already tracks and an owner ready to run it.
On day one. Reviewing the platform up front keeps the first workflow from waiting at the end.
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