The problem
Everyone agrees "we should automate more"; nobody agrees where to start. Platform vendors answer with their platform. Meanwhile the real hours leak through copy-paste between systems that were never introduced to each other.
The system
A working audit: we sit inside the actual workflows, measure where time goes, and rank automation candidates by hours saved × error cost × build effort. Then we build the top one during the same engagement — eval-gated if it involves AI judgment — so the roadmap arrives with proof attached.
How it's built
- Workflow shadowing + volume metrics from your existing tools
- Ranked backlog with honest build-vs-buy calls per item
- First automation shipped to production inside the two weeks
- Handoff docs your team can execute without us
Delivery
This is the Sprint, pointed at operations. Fixed price, two weeks, working software at the end.
What to expect
- A prioritized roadmap grounded in measured hours, not vibes
- One automation live — proof the roadmap isn’t fiction
- A clear call on where AI genuinely helps vs. where a cron job wins
Documented results in the wild
Independent, published deployments of this class of system — cited as market evidence that it works at scale. These are not our clients.
- Standard Bank Systematic automation of onboarding/KYC workflows cut account opening from ~20 days to 5 minutes, with 100+ processes automated and 300% ROI. WorkFusion case study ↗