Before Agentra
Delivery managers chased status across tools and found risks late, often while preparing client updates under pressure.
Case studies
Representative workflow case
Project Reporting: Risk Surfaced Before the Client Asks
Representative AI project reporting case study with delivery signals, risk flags, client-ready drafts, and manager approval.
What changed
A workflow that assembles status, flags risk, drafts internal and client-ready updates, and keeps managers in approval control.
Stack involved
- Project tool
- Chat
- Docs
- Timesheets
- Client report
Before
- Manual status chasing
- Late risk visibility
- Inconsistent reports
- High manager effort
After
- Draft updates
- Risk flagging
- Manager approval
- Baseline dashboard
KPIs
- Manager reporting hours
- Risk lead time
- Report turnaround
- Client update consistency
Governance
- Manager approves external copy
- High-risk escalation
- Missing-source review
- Client-sensitive language gate
Rejected
- Auto-sent client updates
- Risk summarization without source links
- Generic status bot
| Evidence area | Current status | What would make it stronger |
|---|---|---|
| Case label | Representative workflow case | Approved status, reviewer, and date. |
| Metric movement | Manager reporting hours, Risk lead time, Report turnaround, Client update consistency | Before/after values, measurement window, and data source. |
| Workflow path | Stack, controls, before/after narrative. | Redacted workflow map, screenshot, or short screen recording. |
| Approval controls | Manager approves external copy, High-risk escalation | Approver role, exception sample, and audit-log example. |
Next step
Bring one painful workflow.
Agentra will qualify owner, KPI, data, access, approval rules, and deployment readiness before recommending a diagnostic or rejecting the fit.