Clearer Goals And OKRs
Ask for your OKRs, your team's, or the ones at risk — the agent pulls them into chat and logs your progress updates, with one confirmation before anything is written.
Why OKRs Drift Between Set And Review
OKR Agent attacks the specific failures that turn OKRs into shelf-ware between the set meeting in January and the review in March (or June, or September).
OKRs Get Set And Then Disappear For 60 Days
Q1 OKRs are set with conviction in early January. Nobody updates them until the late-March review forces the conversation. By then, the ones that drifted have drifted; the ones that crushed have crushed without celebration; the ones that needed rescue are unrescuable.
At-Risk OKRs Surface Too Late To Fix
A KR is at 15% in week 4, target 100% by week 13. The math says "at risk" — but nobody runs the math until the end-of-Q review, when it's too late to course-correct. By then "at risk" is "missed."
Alignment Becomes Theater
Company OKRs cascade to team OKRs to individual OKRs in a Google Doc that nobody re-reads. The connection from individual work to company outcome gets lost — and the OKR motion becomes a ritual instead of a steering mechanism.
Updating Progress Is A Form, Not A Habit
The KR update lives 4 clicks deep in the OKR tool. Updating it once a week is a chore everybody skips. Without an in-chat way to log "we hit 40%," updates pile up at EOQ — where they tell you about the past instead of helping you act on the present.
KR History Disappears Once The Quarter Closes
"How did we trend on this KR last quarter — were we behind early and pulled it in, or did we coast then panic?" The current value is on the dashboard; the week-by-week history is buried in audit logs. Without an easy timeline view, retros become opinion contests instead of evidence-based conversations.
My Own OKRs Are Hidden Behind My Team's And My Company's
An employee opens the OKR tool and sees the company tree, the team rollup, and a button called "my objectives" three tabs down. The page they need first — "what's mine, what's due, what's at risk?" — is the page they have to navigate hardest to find, and the friction means they look at it monthly instead of weekly.
OKR Agent At A Glance
OKR AI
Your OKRs, your team's and the ones at risk — with confirmed progress updates.
Inside OKR Agent — The Actual Capabilities
Every block below maps to a real tool the agent uses against your OKR data. Reads cover individual, team, and company OKRs plus the cascade between them. Its changes — key-result progress, activating an objective, completing one — each wait for the person to confirm.
Your OKRs, Your Team's, Your Company's — In One Ask
The full OKR hierarchy answerable in chat. "What are my OKRs?" returns your objectives and KRs with current progress. "What's the team's?" rolls up direct reports. "What's the company on?" returns the org-wide ones the rest cascade from.
get_my_okrs— your objectives and KRs with progress.get_team_okrs— the OKRs of the people who report to you.get_company_okrs— org-wide OKRs that team and individual OKRs cascade from.get_employee_okrs— one person's OKRs, as far as OKR Hub's visibility setting lets you see them.get_okr_details— full detail for a specific OKR including KRs, owner, dates.
At-Risk OKRs — Caught Before EOQ, Not After
Proactive surfacing of OKRs that aren't on pace to hit their target. The agent answers "what's at risk?" with the objectives falling behind the time elapsed and the key results due soon and still well short — while there is time to course-correct.
get_at_risk_okrs— objectives behind pace for their elapsed time, and key results due within two weeks and under 70%.- Ordered to act on — newest objectives first, key results by due date.
- Pre-EOQ visibility — surface risk in week 4 or 8, not at the EOQ review.
Alignment Cascade And KR History
Trace the connection from individual KR to company outcome — and see how a KR has moved over time. The cascade view answers "why am I doing this?" The history view answers "how is this trending?"
get_okr_alignment— cascade view showing how an OKR aligns up to team and company OKRs.get_key_result_history— KR progress over time, with each update timestamped.tool_update_key_result_progress— updates a key result's progress after you confirm. Logs the new value to history.- Audit trail on every action — read or write, every tool call is logged with the requesting user and the tool used.
Outcomes Teams Can Measure
The agent's job is to shift OKR motion from quarterly ritual to weekly habit — and to surface at-risk OKRs before they're unrescuable. Measure against your pre-agent baseline.
- KR update cadence — median days between KR updates (target weekly, baseline end-of-quarter).
- At-risk catch rate — share of missed OKRs that were flagged at-risk 4+ weeks before EOQ.
- OKR alignment visibility — share of individual OKRs with a working "view alignment" lookup at least once per cycle.
- End-of-quarter surprise rate — share of OKR outcomes that surprised the manager (should approach zero).
- Mid-cycle course corrections — number of KRs adjusted during the cycle vs at-cycle-end.
Every Change Confirmed First
OKR Agent reads my OKRs, team, company, employee, details, alignment, at-risk and KR history. It can change three things — a key result's progress, activating a draft objective, completing an objective — and each one shows a preview and waits for the person to confirm.
- Confirmed writes —
tool_update_key_result_progress,tool_activate_objectiveandtool_complete_objectiveeach require explicit confirmation. - Same permissions as the app — a change runs as the person asking, with the same checks as the button in OKR Hub.
- Logged to KR history — every progress update records the new value, the comment, the date, and who made it.
- Audit trail on every action — read or write, every tool call is logged with the requesting user and the tool used.
WHAT TEAMS TRY INSTEAD
The four alternatives — and why none of them keep OKRs alive between quarter-starts
Most ops and people leaders reach for one of these four. None of them stick because none of them combine live KR progress, alignment context, and permission-checked writes in one place.
ChatGPT or Claude with the OKR doc pasted in
General-purpose AI on a static OKR snapshot
- Reads live KR progress and last-updated state — not the deck from the start of the quarter
- Walks alignment up and down the tree — every objective above it up to the company one, and the objectives under it — not just a flat list summary
- Writes run with the asker's own permissions, so the agent can update progress through chat without bypassing accountability
Lattice OKR AI, 15Five Spark AI, WorkBoard AI
Vendor-trapped AI inside the OKR platform
- Answers in the same Ask AI as the platform's training, recognition, and performance agents — not a standalone OKR add-on
- Same chat surface employees already use — no separate OKR portal nobody opens between quarter-starts
- Confirmation-gated KR writes with full history — every update records the value, the comment, the date, and who made it
A custom OKR spreadsheet maintained by chief of staff
A multi-tab Excel and a monthly chasing exercise
- Already shipped — no Excel model to maintain, no chasing managers for updates the day before the review
- Captures KR history natively — the spreadsheet always loses the prior-value column
- Surfaces stale and at-risk KRs continuously, not in the pre-review fire drill
The manual fallback — quarterly check-in meeting
A 90-minute slide deck and a Slack reminder
- Surfaces KR status weekly, not quarterly — no surprise red KRs in the EOQ readout
- Deflects "what's the status of our objective X" pings the chief of staff shouldn't be a router for
- Standardizes update cadence so reviews are about decisions, not data gathering
PLATFORM ADVANTAGE
OKR Agent inherits everything the platform already runs
A standalone OKR platform has to plumb each of these. The agent gets them for free because the platform already does.
Live KR ledger
Reads the same KR records the OKR Hub app enforces — no parallel store, no drift between the bot and the rule of record.
Permission-checked writes
A change through the agent runs as the person asking, with the same permission checks as the OKR Hub button — accountability stays where it belongs.
Alignment graph
Walks the alignment tree — the objective, every level above it and the objectives under it — in one call.
Confirmation-gated writes
Progress updates, activations and completions require explicit confirmation — no silent drift from a casual chat message.
Audit history
Every read and write is logged with the requesting user and the tool; the AI request log keeps detail for 30 days. KR history captures each value, its comment, and who made it.
Automatic model tiering
The platform assigns each agent one model tier suited to its work — set for the agent, not picked per question.
INDUSTRY FIT
Industries where embedded OKR intelligence moves the most weight
OKR Agent matters most where strategy execution lives between quarter-starts.
B2B SaaS
Answers where GTM, product, and CS objectives stand and which key results are behind — rolled up from the numbers owners log, no spreadsheet roll-up.
Manufacturing
Surfaces plant-line objective progress and the key results that are overdue or at risk, so supervisors hear about a slipping number before quarter-end.
Healthcare
Tracks patient-safety, throughput, and credentialing objectives and their key results, and answers who owns each number.
Retail
Tracks district-level OKRs and rolls them up to regional / company without the DM chasing store managers for status.
Field Services
Lets technicians log key-result progress from a phone and managers see which team numbers are behind, without chasing status calls.
Public Sector
Agent activity is fully audit-logged. AI requests go to the platform's configured model providers.
WHY MANGOAPPS WINS
An embedded OKR agent beats a chatbot, an OKR-platform add-on, or a custom build on every axis
The argument leadership, finance, HR, and IT all share — and the one a horizontal AI or single-vendor OKR AI structurally cannot answer.
Cheaper than the alternatives
No Lattice or WorkBoard SKU, no per-seat ChatGPT, no six-month custom OKR build, no chief-of-staff cycle dedicated to chasing updates.
More secure
Permission-checked writes, confirmation gates, and KR history mean OKR progress can't be moved by anyone outside the accountability chain.
Easier to deploy
Already deployed if OKR Hub is enabled. Turn the agent on, point it at the alignment tree you already configured, and it's running the same day.
Easier to use
Lives in chat next to the work — no separate OKR portal, no "log in to check status" tax, no quarterly readout meeting for stale data.
Easier to manage
The agent's on/off switch and the OKR visibility policy sit in OKR Hub Settings, alongside every other app's settings in the same admin console.
Easier to extend
Shares the agentic tool framework with every other MangoApps agent. New alignment dimensions and new KR formats ship as tools, not rewrites.
AI is actually better
A horizontal or OKR-platform AI can summarize a status doc. OKR Agent also walks the alignment tree and captures the update — confirmed, and with the asker's own permissions — in the same chat.
At our head office within HR, marketing, and finance, we use ChatGPT quite a bit, and MangoApps AI Helper is a useful tool for us. As I go around to the stores, I’ve been showing them how the AI Intranet Helper can find things and answer plain language questions about our resources, and they’re quite excited about that.
Alison van Zijl
Head of Human Resources
Full House
Customer Success
MangoApps Customers
Organizations that trust MangoApps to run every workflow across their workforce.
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Frequently Asked Questions About OKR Agent
View my OKRs, view your reporting team's OKRs, view company OKRs, view a specific employee's OKRs (as OKR Hub's visibility setting allows), view at-risk OKRs, get full OKR details, get the OKR alignment cascade, and get KR progress history — plus three confirmed changes: update KR progress, activate a draft objective, and complete an objective.
No. Its three changes — tool_update_key_result_progress, tool_activate_objective and tool_complete_objective — each show a preview of the change and wait for you to confirm. Each runs as you, with the same permission checks as the OKR Hub buttons: a key result's progress can be updated by its owner or a co-owner, the objective's owner, someone above the owner on the reporting line, or an admin.
get_at_risk_okrs lists active objectives whose progress trails the share of their time already elapsed by more than 20 points, and key results due within the next two weeks that are still under 70% and short of target. Objectives come newest first, key results by due date. The point is to coach early, not to grade at end-of-quarter.
get_okr_alignment returns the cascade from an individual objective up through the team objective to the company objective it ladders to (as far as the asker may open). This makes the "why am I doing this?" question answerable in chat — and makes OKR drift visible when an individual OKR no longer laddered to a company outcome.
KR update cadence (target: weekly), at-risk catch rate (caught 4+ weeks before EOQ), OKR alignment visibility, end-of-quarter surprise rate, and mid-cycle course corrections. Compare against your pre-agent baseline.
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