70–80% of OKR implementations fail
Not because the OKRs were poorly written. They fail because there's no execution infrastructure. Here's what actually happens:
OKRs are set in a workshop with great energy. They go into a spreadsheet, or a tool, or a Notion page. By week 4, teams are too busy to update them. By week 8, leadership stops asking. By week 12, there's a mid-quarter scramble. By quarter-end, everyone does the review dance — polishing stories, explaining away misses, moving goalposts.
"OKR software is not an execution engine. It's a goal-storage system."
What's missing: real-time progress visibility, an early warning system, a way to course-correct fast, and data-driven accountability. That's what the OKR Execution Engine provides.
Six AI Agents. Continuous Execution Infrastructure.
Each agent handles one critical function of OKR execution. Together, they form a system that runs continuously — not just at the end of the quarter.
Strategy Translator
Converts strategic documents, board presentations, and leadership priorities into draft OKRs. You review and refine; AI does the heavy lifting.
Reduces OKR-writing workshops from weeks to days
Quality Auditor
Scores OKRs against a multi-dimensional quality rubric before finalisation. Checks: outcome-focus, measurability, strategic alignment, appropriate ambition.
Catches bad OKRs before they're committed
Progress Monitor
Automatically tracks progress by integrating with your existing data sources: Jira, Salesforce, Google Analytics, Tableau, Power BI, and more. No manual updates.
Real-time visibility without manual spreadsheet updates
Early Warning System
Detects at-risk OKRs before they fail. Analyses velocity trends, capacity data, and external signals to flag issues by week 2-3, not week 10.
End-of-quarter surprises become mid-quarter corrections
Course Correction Advisor
When an OKR is at risk, generates intervention options with trade-offs: adjust target, redeploy capacity, descope, or escalate. Decisions are deliberate, not reactive.
Every OKR rescue attempt is modelled before it's executed
Quarterly Narrator
Generates board-ready quarterly reviews from your data. What was achieved, what wasn't, what was learned, what changes next quarter. Produced in hours, not weeks.
Quarterly review prep: 3-4 weeks → 2-3 days
We're software engineers at heart, not just consultants. We designed these six agents and built them. That's why they integrate with your real tools and produce real outputs — not slide decks.
Before and After the Engine
| Dimension | Without Engine | With Engine |
|---|---|---|
| OKR Quality | Vague, output-focused, unaudited | Audited, outcome-focused, strategically aligned |
| Progress Tracking | Manual spreadsheet updates, forgotten by week 4 | Automated, real-time, integrated with your tools |
| Mid-Quarter Check-ins | Painful scramble for data that's weeks out of date | 30-minute reviews with real, current data |
| Risk Detection | End-of-quarter surprises | Flagged in weeks 2-3, not week 12 |
| Course Correction | Reactive panic, last-minute goal adjustments | Deliberate, modelled decisions with trade-offs |
| Quarterly Reviews | 3-4 weeks, narrative-driven, story-polishing | 2-3 days, data-driven, board-ready |
| Time Investment | 40-60 hours/quarter per leader | 10-15 hours/quarter per leader |
| Achievement Rate | 40-50% (industry average) | 70-80% |
The Monthly Operating Rhythm
OKR execution isn't a quarterly activity. It's a weekly rhythm. Here's how the Engine structures it.
AI Report + Coaching Call
Progress Monitor and Early Warning System generate the monthly report. 60-minute leadership discussion on progress, risks, and priorities. Output: priorities confirmed, risks visible.
Risk Flags + Corrections
Course Correction Advisor outlines options for at-risk OKRs. Teams present proposed corrections to leadership. Output: decisions made, capacity reallocated.
Pulse Check
30-minute team-level check-ins to validate data accuracy. Surface blockers, align on corrected plan. Output: data validated, blockers unblocked.
Executive Summary
Quarterly Narrator generates 2-3 page board-ready summary. 10 minutes to produce, 5 minutes to review. Output: stakeholders informed, board pack ready.
Frequently Asked Questions
How long does setup take?
Typically a few weeks. We configure integrations, onboard your OKRs, and run a validation check. We'll agree an exact timeline in the discovery session.
Do we need to change how we write OKRs?
The Quality Auditor scores your current OKRs and flags issues. Most clients make incremental improvements during setup. We don't require a full rewrite unless quality is very low.
What happens if we want to change an OKR mid-quarter?
The Engine handles mid-quarter OKR amendments. The Progress Monitor resets its baseline and the Early Warning System recalibrates. We recommend no more than 20% of OKRs changing mid-quarter to preserve integrity.
Who owns the data when we cancel?
You own all your data. On cancellation, we export your complete history and delete it from our systems within 30 days. There are no lock-ins.
What tools do you integrate with?
Jira, Linear, Asana, GitHub, Salesforce, HubSpot, Google Analytics, Tableau, Power BI, Notion, Confluence, Excel/Sheets. More on request.
How much time will we save?
Typically 30-40 hours per quarter per OKR cycle leader. Most savings come from eliminating manual data collection and quarterly review preparation.