Your customers are not leaving because the software is bad. They are leaving because it no longer does what software is now expected to do: the work itself. Some are drowning in workload with shrinking headcount; others discovered ChatGPT and started improvising around you. Heidi turns the codebase, the customer conversations, and the institutional knowledge you already own into the agentic layer your product needs, without a ground-up rewrite.
Renewals that were automatic now get a committee. The tools your product replaced are gone; the question on every call is what your product does for the customer now that AI exists.
Fifteen years of code, undocumented patterns, and every AI experiment stalls on context: the models cannot hold the whole system in their heads, so the output is expensive guesswork.
Handing the monolith to AI and asking for a modern rewrite ends in a different industry: the product stops doing what it does today. Teams that tried it know.
Heidi holds the meaning of the codebase in the Cortex and feeds AI small, precise context instead of the whole monolith. New features build as a layer on top, hooked into the existing system through its real APIs, while the monolith keeps doing its job underneath.
Support tickets, NPS comments, and call recordings stop being three arguments between three managers. Heidi merges the demand signals, customer A's 'B' and customer C's 'D' turn out to be the same feature, and ranks what actually moves retention.
Because AI is wired to the real codebase, the prototype a customer sees at the end of a call is built in your product against your data. One customer validates it, product decides, engineering hardens it. The six-month gap between request and roadmap collapses.
A pattern in Service Cloud becomes an eval. The eval becomes a prototype in GitHub. The prototype becomes a launch narrative in Microsoft 365 and an adoption dashboard in Tableau. One thread, one owner, no handoff lag.
See the workflow →A ServiceNow ticket links to the Jira bug, the GitHub PR, the eval that validates the fix, the release note in Confluence, and the customer reply back through ServiceNow, drafted, sourced, and ready for your review.
See the workflow →Bring the version of this we'd run for you. We'll set Heidi up against a sandbox of your data and walk through your most important workflow inside the call.