AI and Agentforce
Point agents at an org overnight and get back findings anchored to a file and a line, a costed backlog, and the exact click path to verify each item as the real user.
01Key numbers
02The situation
A conventional org audit is a person reading code for a week and producing a document. The document names areas of concern. Nobody can act on an area of concern.
Two of this org’s automations had been dead for weeks and nothing had noticed, because no failure alert existed anywhere in the estate.
Recognise this in your own org?
03What we built
Salesforce is both the task queue and the completion target, and the one thing an agent is never allowed to do is mark work done.
The loop reads open work from task records, does the work, then verifies end to end under the real users’ permissions and deletes the test data. Only then is the task closed, with a note saying what was done and how it was checked. The verification step is the product.
Parallel agents run in ten named git worktrees against the same org. Each branch is independently reviewable, so parallel speed does not cost a reviewable history.
Each of the 37 backlog items has an analysis verified against the live org with real record counts and real field names, a plan, the objects touched, and the exact login-as click path plus a cleanup line. A blockers line names what a human has to unblock.
The same technique applied to code review surfaced a defect independently identified by five reviewers. A finding that five independent passes all reach is a finding, not an opinion.
Three of this account’s four open orders are past their scheduled end date with no billing window set. The pattern matches two orders that later needed a change request.
Generated from order records in this org. Not a measurement. Users cannot edit this text.
We will demonstrate any of these live, on the real org,.
The agent object is serialised at deploy time, so a model name set at runtime cannot correct one baked into the deployed object. It stopped, and nothing said so. A second automation died with an authentication error and ran dead for 19 days. Both produced the same fix: one sanctioned deploy path, heartbeats, and alerting so silence is never silent again.
04Outcome
Point agents at an org and get back a costed, verified backlog rather than a document about areas of concern.
Every finding was confirmed against the running org before it was reported. Findings that could not be reproduced live were dropped.
Keep reading
Three telephony feeds joined on one key, and every answered call turned into a speaker-labelled transcript with owned action items for fractions of a cent.
The client told us the tax was calculating by product instead of by province. We tested that against all 2,335 order line items and it was not true. Six other defects were, and we priced each one.
Tell us what is broken. You get a written read on it within one business day, before any money changes hands.