Project Management
Spots the bottleneck before standup does.
Watches sprint progress, flags where it's slipping, and suggests how to reallocate, so releases hold their dates. Autonomous on the routine, deferential on anything that needs a person.
- Policy & rules
- System records
- Live event streams
- Dashboards & reports
- Drafted communications
- Audit-ready evidence
Why this work breaks at scale.
More BPO or more spreadsheets both scale with cost, and neither gives a reviewer the evidence they want.
What the Project Management does for your team.
Scores and prioritises
Ranks work by risk, value, and urgency so the queue reflects what actually needs attention first.
Explains every decision
Each output ships with its reasoning and the source it drew from, so a reviewer can confirm rather than re-derive.
Improves with feedback
Reviewer corrections feed back into evaluation, tightening accuracy on your data over each cycle.
Deterministic where it matters
Regulated or high-stakes steps follow fixed, testable workflows, generative help is reserved for drafting and ideation.
Ticket to PR to release, one engineering view.
Ingest
Pulls in the relevant records and documents the moment they arrive.
Extract & validate
Structures the data and checks it against your rules and reference masters.
Decide or draft
Resolves the routine case or prepares a recommendation for review.
Post & log
Commits the outcome to your system of record with a full audit trail.
- Policy & rules
- System records
- Live event streams
- Reference masters
- Dashboards & reports
- Drafted communications
- Audit-ready evidence
- Exception flags
Deployed into the systems you already run.
No rip-and-replace. The Project Management connects to your existing engineering & SDLC tooling and writes back to your system of record.
Deployed for Delivery & program teams — more releases land on time.
The practical details.
No. It removes the low-judgment, repetitive work and routes anything consequential to a person with the context attached, so your team spends time where judgment actually pays off.
A first version typically runs against your own data within weeks, the first agent can be live in as little as 48 hours, with full deployment in two to eight weeks.
It integrates with the engineering & SDLC systems you already run, GitHub, GitLab, Jira and more, with no rip-and-replace.
Yes. You own 100% of the IP, code, and documentation. There is no platform lock-in and the full system transfers to your team.