Status and reporting
Collect status from working sources, prepare summaries, identify deviations and surface questions requiring a decision.
AI adoption in the project office
AI inside the PMO — not as a separate chatbot, but as part of daily work
We select high-friction workflows, establish a baseline, redesign the work and launch a bounded pilot across reporting, meetings, risks, documentation or decision preparation.
Process and success criteria first — technology and automation second.
First step — 20–30 minutes.We review the PMO workload, workflow, and constraints and decide whether the challenge fits a bounded AI pilot.
Where AI can deliver a practical PMO outcome
We do not automate everything at once. Together we select two or three repeatable workflows where quality, speed and actual use can be tested.
Meetings and decisions
Agenda, materials, minutes, actions, deadlines and a recoverable record of management decisions.
Risks and dependencies
Detect new signals, check contradictions, update the register and prepare escalations for accountable owners.
Documents and knowledge
Search project context, draft documents, check completeness and reuse decisions accumulated across projects.
Portfolio intelligence
Signals on delays, overload, resource conflicts and priority changes for portfolio-level decisions.
Committee preparation
A single decision pack with facts, open questions, options and consequences — without manually assembling a deck.
What remains with the team after the pilot
Not just a tool demo, but a working setup with explicit owners, constraints and a way to measure the result.
Workflow map and baseline
Current effort, data sources, manual handoffs, errors and quality criteria before implementation.
Prioritized AI use cases
A set of scenarios assessed for value, readiness, risk and dependency on enterprise systems.
Working prototypes
Bounded solutions inside a real PMO workflow, not standalone demos outside the operating context.
Scaling playbook
Roles, usage rules, quality control, adoption metrics and the next implementation plan.
How the engagement works
Select the workflows
Interviews, current workflow map, baseline and a shortlist of use cases with owners.
Change more than the interface
Define the new workflow, data, human control, security and success criteria.
Test inside real work
Launch a bounded setup, collect feedback and compare results with the baseline.
Make the decision
Document validated outcomes, constraints and the conditions for expansion to other teams.
Formats and pricing
We first bound the workflow and success criteria. The pilot fee is fixed after the diagnostic and before implementation begins.
PMO diagnostic
from USD 2,000
- Up to 3 workflows
- Interviews and baseline definition
- Use-case shortlist and pilot scope
Implementation in 1–2 workflows
fixed fee after diagnostic
- Redesigned working process
- Working prototype with human control
- Result compared with the baseline
Pricing follows the number of workflows, data sources, integrations, and security requirements — not company size.
Honest pilot boundaries.We do not promise ROI before a baseline, replace the PMIS, or automate decisions without an owner. The goal is to validate or disprove the value of specific use cases inside your PMO.
Does a PMO workflow consume too much manual effort?
In 20–30 minutes, we review the workflow, data, and constraints and determine whether it fits a bounded AI pilot.