Schedule health checks
Run quality checks on every update: open ends, missing logic, hard constraints, negative float, long durations. Each finding comes with an explanation and a suggested fix.
Agentic AI
AI agents that check, update and explain your schedules, with your planners in control
We put AI agents to work on the repetitive parts of project controls: health-checking schedules, preparing progress updates, comparing revisions and drafting narratives. Your planners review and approve every change before it reaches the live programme.
Agentic AI
Agentic Project Scheduling
- Works with
- Primavera P6 (XER, XML), MS Project (MPP, XML), Excel
- Engagement
- Assessment, pilot, rollout
- Control
- A planner approves every change
- Your data
- Stays in your environment or a cloud you approve
Who it’s for
- Contractors and owners running several schedules at once
- Project controls teams stretched by weekly and monthly update cycles
- PMOs that need consistent reporting across projects
- Consultants reviewing schedules submitted by others
Outcomes
What changes for your team
- 01Quality problems are caught before a schedule leaves the building
- 02Update cycles spend less time on data entry and more on judgement
- 03Every revision comes with a clear account of what changed and why
- 04Reports and narratives are consistent across projects
- 05Planners can ask the schedule questions in plain language
- 06Every change has an audit trail: who proposed it, who approved it
Capabilities
What the agents do
Progress updates
Read progress from site reports, spreadsheets or forms, map it to activities and prepare the update for a planner to review.
Revision comparison
Compare two versions of a schedule: added and deleted activities, logic and duration changes, and movement in the critical path.
Narratives and reports
Draft the monthly narrative, critical path summary and three-week look-ahead from the approved data.
What-if scenarios
Test recovery options such as resequencing or extra resources, and show the likely effect on key dates.
Ask your schedule
Plain-language questions such as “What is driving the finish date?” or “Which activities slipped this week?”
How it works
Human in the loop, by design
Agents do the legwork. People make the decisions. Nothing reaches the live schedule without approval.
Step 1
Connect
Schedule exports and progress sources are loaded into a secure workspace.
Step 2
Analyse
Rule-based checks run first; agents add comparison, context and explanation.
Step 3
Propose
Agents draft fixes, updates and narratives, each with its reasons and evidence.
Step 4
Review
A planner approves, edits or rejects every proposed change.
Step 5
Publish
Approved changes and reports are issued, with a full audit trail.
Our approach
Principles we will not compromise
Planners stay in charge
Agents propose; people decide. The professional judgement of your planners is the point, not an obstacle.
Deterministic checks first
Quality checks use explicit, repeatable rules. AI is used for comparison, drafting and explanation.
Explainable and auditable
Every suggestion shows the data behind it, and every approval is logged.
Your data, your control
Run in your environment or a cloud you approve. Your schedules are not used to train public AI models.
Engagement
How to engage us
Schedule assessment
We analyse one live schedule and show you what agents find and how they would help. A low-risk way to start.
Pilot on one project
Agents support a full update cycle on a single project, alongside your current process.
Rollout and enablement
Configure the workflows for your portfolio, integrate with your reporting and train your team.
Managed service
We run the agents for you every update cycle and deliver reviewed outputs to your planners.
Works with
- Oracle Primavera P6 (XER and XML)
- Microsoft Project (MPP and XML)
- Excel progress sheets
- Power BI and Excel reporting
What you receive
- Schedule health report for each update
- Configured agent workflows and approval steps
- Narrative and reporting templates
- Audit log of proposals and approvals
- Training for planners and reviewers
FAQ
Frequently asked questions
Can’t find what you need? Ask us directly.
Will AI replace our planners?
No. The agents take on repetitive checking, data handling and first drafts. Planners keep responsibility for logic, judgement and approval, and get more time for both.
Which scheduling tools do you support?
Primavera P6 through XER and XML exports and Microsoft Project through MPP and XML, plus Excel progress sheets. We confirm the exact versions during the assessment.
Where does our data go?
It stays in your environment or in a cloud you approve. We agree the data flows in writing before any work starts, and your schedules are not used to train public AI models.
What if an agent gets something wrong?
That is why every change is reviewed before it is applied. Quality checks are rule-based and repeatable; AI-written suggestions always show the data they are based on so a planner can verify them.
Do we have to change how we schedule?
No. The agents work with your existing schedules, codes and reporting formats. We may recommend improvements, but you decide.
How do we start?
With a schedule assessment on one live project. You see the findings and the proposed workflow before committing to a pilot.
Related services
All servicesProfessional trainingProject Scheduling Training with Primavera P6 & Microsoft ProjectHands-on Primavera P6 and Microsoft Project training for planners, engineers and project managers, from fundamentals to schedule review.Learn more Agentic AIAgentic CodingSoftware built with AI coding agents under senior-engineer control, plus coaching and guardrails for teams adopting the same way of working.Learn more
See what agents find in your schedule
Start with an assessment of one live schedule. We will show you the findings and the workflow, with no obligation to continue.