Scope Creep
Unplanned work enters the sprint unnoticed. Tolmete flags it before unapproved hours accumulate.
AI Delivery Intelligence · Live
AI Delivery Intelligence That Protects Delivery, Margin, and Client Trust
Tolmete filters routine activity and highlights critical signals. Built as a project risk early warning system, this AI project risk alerting software reviews delivery data in the background, validates meaningful risk, and recommends the next action before problems reach the margin
- On a fixed-price project, work that never made it into the contract comes straight out of your margin — and it usually starts with a helpful "sure, we can add that."
- A half-day task quietly becoming a week is how a client demo slips — without anyone deciding it should.
- A team can look fully booked and still ship nothing — and you can end up paying three times for one feature.
- When logged hours don't line up with delivery, the invoices and forecasts you hand a client are built on sand.
- When one person is the only one who understands a critical system, their calendar quietly becomes your delivery risk.
- If your estimates are wrong the same way every sprint, every fixed-price bid you sign is underpriced before work even starts.
- Losing your strongest developer to burnout is among the most expensive things that can happen to a project — and it builds silently, one quiet week at a time.
- A new hire who can't get productive is billable capacity you're paying for and not getting back — usually because of the setup, not the person.
12 days
before the problem is visible in a status report
10
risk patterns monitored across every active project
1
plan, not a notification, for every validated signal
The Problem
Most delivery risks are discovered too late
In agency projects, problems rarely arrive as emergencies. They start as small gaps: unapproved scope, slow reviews, missed estimates, unresolved blockers, time logged without traceable output.
The project is running two weeks late with no prior escalation. An invoice sent for work that quietly went sideways. These are not edge cases — they are what happens when delivery decisions are based on status updates that aren't grounded in anything.
Most risk detection catches these issues once pressure is already visible — when budget is exposed and the client conversation is harder to control. Tolmete moves discovery earlier — showing what changed, where the evidence comes from, and why it matters — so managers can act while there is still room to adjust.
Projects look green until they turn red
A sprint can look stable while churn, delays, added scope, and blockers build underneath. By the time it surfaces, the budget is already under pressure.
Work the client didn't approve
Logging hours takes more effort than the work itself, so details get dropped and records suffer.
Margin erodes quietly
Margin disappears through small leaks: rework, scope additions, misscoped tickets, and untraceable hours. The project ships, but the profit is gone.
Live Evidence Stream
From everyday delivery activity to early risk intelligence
As project risk detection software, Tolmete turns day-to-day delivery activity into early risk intelligence. It detects when execution begins to drift from the plan, explains what changed and why it matters, and gives managers a practical mitigation briefing before the issue becomes a costly delivery problem.
Evidence in
Tasks, time, PRs, reviews, blockers, ownership, scope.
Drift detected
Patterns that put timeline, budget, quality, or trust at risk.
Briefing out
What changed, why it matters, what action reduces the risk.
How It Works
How Tolmete Turns Delivery Activity Into Early Risk Intelligence
Margin is rarely lost in one big event. It goes at the handoffs: the weekly delivery review, the end-of-sprint risk check, the client status call, and the billing period close. Tolmete gives teams the context they need at each of these moments.
1. Connect the project tools
01/04
Link Jira, GitHub, time tracking, and the rest of your delivery stack so Tolmete can read project activity in one place.
What Tolmete Watches for
The Signals Most TeamsMiss Until It's Too Late
Tolmete detects delivery patterns that stay hidden until a sprint is already under pressure. Each signal shows managers where work is drifting, slowing, or becoming hard to explain — early enough to act.
Execution Delay
A task is taking longer than expected with no clear explanation — Tolmete shows how long it has been building.
Code Churn
The same code is rewritten repeatedly. Tolmete surfaces the pattern before it affects the timeline.
Unverified Activity
Hours are logged with no matching activity. Tolmete highlights the gap before it becomes a billing issue.
Bus Factor
One person carries too much of the critical work. Tolmete flags it before their absence stalls the project.
Estimate Quality Drift
Repeated misestimates make delivery plans unreliable. Tolmete tracks the pattern before it affects commitments.
Burnout Risk
Sustained pressure signals where output is about to drop. Tolmete makes it visible before quality suffers.
Onboarding Stall
A new contributor shows little traceable output. Tolmete surfaces it before it affects the sprint.
From Signal to Mitigation
An Alert Is Not Enough. a Named Plan Is
Watch how a weak signal becomes a structured mitigation brief — with evidence, root cause, and a clear next action. No alert fatigue, no manual investigation.
01
Signal fires
3 unplanned tickets added in sprint 24.
02
Evidence pulled in
Jira diff, time logs, PR changes — auto-attached.
03
Root cause
Client-side ad-hoc requests bypassed approval.
04
Mitigation brief
Action, owner, deadline — ready for the PM.
Strategic Value
AI Delivery Intelligence That Acts Earlier
Tolmete acts as a 24/7 project auditor. It identifies weak signals, explains the evidence behind them, and shows managers how to respond before small issues turn into client escalations or missed deadlines.
Prioritize what needs attention
Tolmete filters routine activity from meaningful risk, so managers focus only on what may affect budget, timeline, or client trust.
Detect delivery risks early
As AI project risk management software, Tolmete surfaces delivery drift while it is still manageable: stalled progress, unclear ownership, repeated rework, or added scope.
Understand the real root cause
Delivery risk root cause analysis connects each alert to evidence: scope movement, review delays, weak estimates, or repeated rework.
Act with a named mitigation plan
Tolmete gives managers a clear action plan — what happened, who responds, what to do, and when — before the window to act closes.
The Solution
One Project.
Two Synchronized Views.
Internal teams see the full risk picture with evidence. Clients see a clean summary of progress and only the issues that truly affect timeline or budget. Watch both views play in parallel.
Internal view · the PM
Risks, evidence, and root cause
Client view · the Portal
A calm picture of delivery progress
Strategic Value
Built for Delivery Control, Client Confidence, and Team Focus
See which projects are quietly becoming expensive
Tolmete gives agency leaders an evidence-based view of where delivery risk is affecting margin, timeline, or client trust — and where to intervene before it becomes client-facing.
- Earlier visibility into portfolio risk
- Fewer margin leaks and client-facing surprises
- Clearer basis for delivery decisions
Example:
Tolmete flags a project where scope movement, slow reviews, and unclear ownership are increasing delivery risk.
Control risk without chasing every update
Project managers no longer have to reconstruct delivery status from GitHub, Jira, Slack, and status threads. Tolmete connects the evidence so PMs see where work is slowing, blocked, or drifting from the sprint plan.
- Less time chasing updates
- Faster response to emerging risks
- More time for decisions, less time on status
Example:
Tolmete highlights a feature slowed by review delays, repeated clarification, and dependency handoff before it becomes a sprint risk.
Control what clients see without hiding what matters
Tolmete separates the internal delivery picture from the client-facing view. Internal teams see the risks and evidence. Clients see a clean summary of progress and only the issues that truly affect timeline or budget.
- Client trust protected when issues arise
- Fewer reactive status emails
- Transparency that strengthens the relationship
Example:
Tolmete detects a code churn issue internally. The PM resolves it before it affects the sprint, while the client portal continues to show steady progress.
If you lead delivery, own client relationships, or wake up thinking about margins — Tolmete is your early warning system. See where money and trust are at risk before it's too late.
Before Tolmete, our PMs reconstructed status from five tools every week. Now the evidence is already linked, and we get a named mitigation plan the moment a project starts to drift.
-41%
3 unplanned tickets added in sprint 24.
+12d
Jira diff, time logs, PR changes — auto-attached.
+12d
Client-side ad-hoc requests bypassed approval.
The Intelligence Layers
The Intelligence Layers
Behind Delivery Control
A delayed review, an added ticket, a rewritten file, or a quiet blocker may not look serious on its own. Tolmete connects these signals across tools and shows where risk is forming, what supports the concern, and what managers should do next.
AI Time Logging
Conversational time tracking that turns work descriptions into structured records — feeding clean data into every risk signal.
AI Chat Interface
A single chat that connects across Jira, GitHub, Slack, and time logs — so managers ask questions and get evidence-based answers.
Client Portal
A clean, controlled view of delivery for clients — strengthened by the internal risk intelligence working behind the scenes.
Why Tolmete is Different
Why Tolmete Client Portal Works Better Than Static Reports
Traditional client reporting depends on someone finding the time to build it. Tolmete replaces that cycle with a client reporting system that uses delivery evidence and automatically keeps clients informed.
Traditional project control
Tells you what already happened
- Status reports built from manual updates
- Risks visible only after pressure shows up
- No connection between scope, time, and code
- Alerts without mitigation guidance
Tolmete AI Delivery Intelligence
Tells you what's about to go wrong
- Evidence pulled from the tools teams already use
- Early signals while there is still room to adjust
- Risk root cause connected to specific evidence
- A named mitigation plan, not a notification
Traditional reports tell clients what happened after someone spends time building them.Tolmete gives clients a transparent, up-to-date reporting view when they need it.
Bring Delivery Risks Into Focus Before They Reach the Client
If you lead delivery, own client relationships, or wake up thinking about margins — Tolmete is your early warning system. See where money and trust are at risk before it's too late.
FAQ
Frequently Asked Questions
Everything you need to know about Tolmete.
AI Delivery Intelligence is Tolmete's layer for early project risk detection. It reads delivery activity across tickets, pull requests, reviews, blockers, and time logs to spot where work is drifting before it affects deadlines or client expectations.
Tolmete connects the delivery footprint teams already create across GitHub, Jira, Slack, time logs, and other project tools. It links tickets, commits, review delays, and blockers — and the AI analyzes pull requests, task activity, and time patterns to surface risks before they affect the sprint. As AI risk management software for projects, it detects delivery risks earlier without requiring teams to change how they work.
No. Tolmete fits into existing delivery practices and connected tools. Teams keep working in GitHub, Jira, Slack, and their usual workflows, while managers get clearer risk visibility without extra reporting rituals or developer admin work. It works as AI project delivery software that adapts to how your team already operates.
Tolmete does both. As AI project risk management software, it detects delivery risks, explains the evidence behind each alert, and turns validated risks into practical mitigation steps managers can act on.
Tolmete uses predictive project risk management to filter routine activity before deeper analysis. When thresholds are crossed, it evaluates timing, context, and supporting evidence. Before sending an alert, Tolmete can ask the manager for context — whether work was approved scope or R&D — to keep signals meaningful and prevent alert fatigue.