Kumo HR Agent 2.0 is here

Intelligence that
doesn't just suggest.
It reads. It acts.

Kumo HR Agent 2.0 isn't a copilot bolted onto an HRIS. It's an agent colleague that reads the document, sees what the last tool actually returned, and decides the next move. Give it a goal: it plans the mission, runs every step, pauses for your confirm on anything sensitive, and files the result as an artifact, with a full log, and an honesty kernel that cannot claim unfinished work.

Built on your private data Never trained on it Full audit trail Designed for compliance
What's new in 2.0

It reads. It sees.
It keeps going.

Copilots suggest. Kumo HR Agent 2.0 is agentic: it watches every tool come back, then takes the next step. It reads CVs, contracts, and policies with a steely eye, tells you honestly what it did, and still waits for your confirm on anything that matters.

Kumo HR Agent 2.0 in action: it scans a UK employment contract, matches the eight-week notice clause to policy, flags a missing hybrid working clause, drafts a first-pass checklist, and waits for human confirmation. Not legal advice.
Agentic index

Kumo HR Agent 2.0 vs a typical HR copilot

Copilot 2.0
Qualitative agentic comparison. Typical HR copilots suggest; Kumo HR Agent 2.0 executes, loops, reads, and waits for confirm. Not a third-party lab score.
CapabilityTypical HR copilot vs Kumo HR Agent 2.0
Executes the missionNot a suggested to-do list
Suggests
Runs every step
Loops on live resultsSees what the last tool actually returned
One-shot
Keeps going
Reads CVs, contracts, policiesFirst-pass, with receipts, not legal advice
Summarises
Reads & files
Confirm-gated & honestCannot claim work it has not finished
Sounds done
Shows the log

Qualitative agentic index: how far each system goes on the same HR mission. Not a third-party lab score.

Three pillars

Missions. Artifacts. Skills.

Most "AI for HR" is a search bar with a thesaurus. Kumo works like a colleague: it takes missions, produces artifacts, and learns your org's skills. Three pillars, one operating system.

Missions

Give Kumo a goal and it plans the steps, runs them, and pauses for your confirm on anything sensitive. 2.0 sees each tool result and keeps going.

  • "create me a hiring plan" → 6 steps, run
  • Adjusts the plan as it learns from live results
  • Confirm gates on sensitive steps
  • Full log of every step & tool call

Artifacts

Everything the agent produces is saved, versioned and reusable: hiring plans, job posts, audits, reports, policies.

  • Every mission ends in an artifact
  • Versioned, searchable, shareable
  • Reuse as the start of the next mission
  • Yours to edit, by hand or by ask

Skills

Teach Kumo how your org runs a process once, and it does it that way every time, for everyone.

  • Encode your playbooks as skills
  • Consistent across every manager
  • Skills compose into bigger missions
  • Update once, applied everywhere
Chat

A conversation with your whole org.

Type like you'd message a colleague. Kumo looks across hiring, performance, payroll, leave and policies, plans the mission, and gets to work.

Cross-module questions

"Who are the engineers in EMEA without a stretch goal this quarter?"

Drafts & documents

"Draft a parental leave policy update for Germany, in German."

Operational nudges

"Run a pay-equity check across product, flag anyone > 8% off-band."

Live reporting

"Compare attrition in Sales vs. last quarter, by tenure band."

Kumo
Kumo AI
Live · grounded on 1,284 employees
Run a pay-equity check across product. Flag anyone more than 8% off band.
YA
Kumo
Done. 4 employees are outside the ±8% band in Product. Two are below midpoint and two are above. I've prepared a draft adjustment plan and a manager note in your tone of voice.
Pay equity · adjustment proposal
4 records · 2 raises (+$4k avg) · 2 freezes flagged for review
Ready to approve
Send the proposal to Maria and Tom for sign-off.
YA
Kumo
Sent. Both approvers notified in Slack with a one-tap approve. I'll re-run the check after sign-off and confirm Payroll picks it up next cycle (21 May, JST).
Summarise this week's hiresWho's at retention risk?Draft a UK leave policyCompare review scores by tenure
Signals

See what's coming, not what's gone.

Kumo AI scans every event across your org · promotions, comp, pulse, calendar load, hiring throughput · and surfaces what needs attention now, with the receipts.

Signals · this week
12 new
Retention risk · Sales EMEA

Pulse score dropped 0.4 over 3 weeks. 5 reports flagged. Avg tenure 3.8y.

Predicted: 26% 6-month attritionConfidence: 0.84
Action
Compliance · UK IR35 status

5 contractors hit 12-month threshold. Recommend in-house conversion review.

Deadline: 30 daysOwner: Maria L.
Review
Hiring pipeline · Engineering

Time-to-offer up 11 days. Conversion holding, but offer-acceptance dropped 7%.

Forecast: −2 hires vs planOwner: Tom R.
Watch
Pay equity · Product

Adjustment plan approved by Maria & Tom. Live in next pay cycle (21 May).

Records: 4Adj. value: +$16k
Resolved
Skill gap · AI engineering

3 product squads understaffed for upcoming roadmap. Suggested: 2 hires + 4 internal moves.

Confidence: 0.78Window: Q3
Plan

A predictive layer over every module.

Signals draw from every event in your people graph, not just one module. So a drop in pulse plus a comp outlier plus a manager change becomes one alert, not three Slack threads.

Avg lead time on alerts
38 days
vs. dashboards: post-hoc
False-positive rate
5.4%
▼ 38% vs. industry baseline
Signals per month
~24
Tunable per persona
Auto-resolved share
41%
via Kumo Actions
Actions

Agents that finish the job.

Built-in workflows that go beyond drafting. Each agent is scoped, observable, and revocable, with an immutable audit trail of every step it takes.

Contracts agent

From offer to signature, in minutes.

Drafts a localised contract from a hiring decision, routes for review, e-signs, files to People, and triggers onboarding.

1
Reads hire record, locale, comp band
2
Picks template, fills, localises
3
Routes for legal review & sign-off
4
E-signs, files, triggers Onboarding
Performance agent

Reviews that actually close on time.

Sends nudges, summarises peer feedback across 3 sources, drafts a manager review and surfaces calibration risk.

1
Tracks who's overdue, by team & cycle
2
Drafts summaries from self · peer · manager
3
Flags calibration outliers
4
Schedules close-out conversations
Policy agent

Legislation tracked. Policies, refreshed.

Watches statute changes across 180+ jurisdictions, re-drafts impacted policies, publishes to the handbook, in four languages.

1
Monitors statutes, case law, guidance
2
Maps changes to your policy graph
3
Drafts updates with diff & rationale
4
Publishes after legal sign-off
Comp agent

Pay equity, on a schedule.

Runs equity checks, flags drift, models the cheapest path to compliance and prepares manager-tone adjustment notes.

1
Audits every band & role, monthly
2
Flags outliers with rationale
3
Models adjustment scenarios
4
Drafts manager comms in your voice
Onboarding agent

Day-one ready. Day-90 thriving.

Generates the onboarding plan from role + locale, books equipment, assigns a buddy, and books the welcome session.

1
Reads role, locale, manager, team
2
Generates checklist & sequence
3
Provisions accounts, ships kit
4
Books buddy & welcome session
Pulse agent

Engagement, but actually actionable.

Designs the right survey, runs it, themes the comments, and routes findings to the right manager with a 1:1 prompt.

1
Picks cadence & questions per team
2
Distributes via Slack / Teams / email
3
Themes & ranks comments anonymously
4
Routes 1:1 prompts to managers
Live catalogue

See what it can finish today.

Not a feature checklist. The same registry that gates what the agent may execute. Browse by module: leave, rota, hiring, pay, reviews, and more. Each entry shows how to ask, who can use it, and the confirmation that protects it. Coverage grows with every release.

  • “Clock me in”
  • “Build next week from the morning template”
  • “Book leave for Priya next Thursday”
  • “Draft a job post for the Berlin AE role”
  • “Run a pay-equity check across Product”
  • “Chase overdue reviews before Friday”
Open both ways

Works with your AI stack.

Embed Kumo's complete model and durable agent loop in your own product, or let Claude, Cursor, and your agents call Kumo over MCP. It works the other way too: connect any system you already run, including the old ones, and Kumo acts in it behind approval. Every model call, decision, tool call, receipt, and outcome is traceable.

  • Claude and Claude Code
  • Cursor and VS Code
  • Your own agents, over REST or MCP
  • Your product, with the Kumo Agent SDK
  • Calendars, chat, and internal tools
  • Legacy systems, through a connected adapter
Trust & safety

Powerful by default. Safe by design.

Kumo AI holds the most sensitive data in your company. We built it . With controls designed for regulated industries and reviewed by independent auditors.

Built on your data. Never trained on it.

Customer data is isolated and used only to answer your queries. Models are never trained on your tenant's content.

Permission-aware retrieval

The AI sees only what the asking user is allowed to see, down to the field. RBAC isn't a filter, it's a barrier.

Cited & explainable

Every answer cites the records it used. Every action explains its reasoning in plain language. No black boxes.

Immutable audit log

Every prompt, retrieval, action and approval is logged. Searchable, exportable, retention configurable per region.

Data residency & isolation

EU, UK, US and APAC regions. Customer data never crosses regions without explicit consent. Tenant-isolated by default.

Reversible by default

Kumo's own actions can be reverted from the run log. Critical actions require explicit human approval every time, and anything running in a system outside Kumo always does.

Give your people team a force multiplier.

30-minute demo · live data · your real questions.