Confirm Launches Four AI Agents on a Unified ONA Data Layer — A Platform Bet Against HR Point Solutions
At Transform 2026, Confirm shipped four AI agents that share a single organizational network analysis data layer — priced at $8 per person per month. It is a deliberate wager that unified intelligence, not more point solutions, is what HR teams actually need.
The Launch: Four Agents, One Data Layer
At Transform 2026 in Las Vegas (March 23–25, 2026), Confirm unveiled a four-agent AI platform purpose-built for performance management. Rather than selling individual AI features, the company launched an interconnected suite where every agent draws from the same Organizational Network Analysis (ONA) data layer.
"Most HR AI is built on static documents. We built ours on the data that actually captures how your people work: goals, feedback, performance history, and signals from your tools like Jira and Salesforce, running right in Slack and Teams," said David Murray, CEO & Co-founder of Confirm.
The timing is not incidental. HR teams are contending with a growing sprawl of disconnected AI tools, each with its own data silo. Confirm's thesis: a shared data foundation means insights compound rather than fragment.
The Four Agents and How They Interconnect
Each agent serves a distinct HR function, but the platform's value proposition hinges on the shared ONA layer feeding all four simultaneously:
1. AI HRBP Agent
Identifies retention risks and surfaces hidden high performers using ONA and collaboration signals. Instead of waiting for exit interviews or relying on manager intuition, this agent flags flight risk proactively by analyzing how collaboration patterns shift — a declining network position, for instance, can signal disengagement before the employee starts browsing job boards.
2. AI Onboarding Agent
Generates personalized 90-day onboarding journeys with automated check-ins and manager visibility dashboards. This replaces the ad hoc checklists that most companies still use, connecting new-hire ramp-up to the same behavioral data that feeds the rest of the platform.
3. AI Manager Coaching Agent
Delivers real-time coaching nudges and personalized development plans directly inside Slack and Microsoft Teams. Because it reads the same ONA data layer, the coaching is informed by actual collaboration patterns — not generic management advice.
4. AI Service Desk Agent
Handles routine employee HR questions (policy, benefits, procedures) in Slack and Teams, eliminating ticket queues for straightforward queries. This frees HR teams to focus on strategic work while employees get instant answers in the tools they already use.
The interconnection matters. When the HRBP agent flags a retention risk, that signal can inform the Manager Coaching agent to surface a timely nudge. When a new hire's onboarding journey reveals an integration gap, the Service Desk agent can proactively address common questions. This cross-pollination is Confirm's core differentiator against vendors selling isolated AI features.
The ONA Foundation: How It Works, Why It Matters, and What to Watch
What ONA Actually Does
Organizational Network Analysis maps how work flows through an organization by ingesting signals from collaboration and productivity tools — Slack, Jira, Asana, and Salesforce, plus goals, feedback, and performance history.
Rather than relying on org charts and self-assessments, ONA reveals who actually collaborates with whom, where bottlenecks form, and which contributors drive disproportionate value. Confirm frames this as a fundamental shift: performance intelligence built on behavioral data, not static documents.
Why It Matters for HR Leaders
Most performance management systems still rely on two inputs: manager opinions and employee self-assessments. Both are subjective, prone to recency bias, and blind to cross-functional contribution. ONA adds a third signal — behavioral collaboration data — that can reduce bias and surface contributors who are invisible in traditional review cycles.
For HR leaders evaluating AI performance tools, the question is whether this behavioral layer produces meaningfully better talent decisions than tools built on conventional inputs alone.
Privacy Considerations: The Due-Diligence Checklist
ONA-based collaboration monitoring is powerful precisely because it captures granular employee behavior. That same granularity creates legitimate privacy and surveillance concerns that HR buyers must address before procurement.
What HR leaders should ask Confirm before buying:
- Data ingestion scope: Exactly which signals are collected from each integration (Slack messages, Jira tickets, Asana tasks)? Is content analyzed, or only metadata (timestamps, connections, volume)?
- Aggregation and granularity: Are insights presented at the individual or team level? Can managers see individual collaboration patterns, or only aggregate trends?
- Employee notification: Are employees informed that their collaboration data feeds the ONA layer? What does the disclosure look like?
- Opt-out mechanisms: Can individual employees opt out of ONA data collection? If so, how does that affect the platform's effectiveness?
- Data retention: How long is collaboration data stored, and what are the deletion policies?
These are not theoretical concerns. Works councils in the EU and employee privacy advocates in the US have increasingly scrutinized workplace monitoring tools. HR leaders who skip this due diligence risk employee trust erosion and potential regulatory exposure.
Pricing: Aggressive for What It Includes
Confirm's pricing structure is straightforward:
| Component |
Price |
| Full four-agent platform (base) |
$8/person/month |
| Engagement Surveys add-on |
$3/person/month |
| OKRs add-on |
$3/person/month |
| Fully loaded |
$14/person/month |
At $8 per person per month for four AI agents sharing a unified data layer, this is aggressive pricing relative to legacy performance management suites. The fully loaded $14 per person per month — including engagement surveys and OKRs — positions Confirm as a comprehensive performance platform, not just an AI add-on.
For a 1,000-person organization, the base platform runs $8,000/month ($96,000/year). Fully loaded: $14,000/month ($168,000/year). HR leaders should model this against the total cost of the point solutions it would replace — factoring in integration maintenance, data reconciliation overhead, and license stacking across multiple vendors.
Compliance Posture
Confirm's compliance positioning covers three areas:
- SOC 2 Type II certified: Independently audited controls for data security, availability, and confidentiality.
- GDPR-ready: Positioned for EU compliance, though HR buyers with EU employees should verify specific data processing agreements and data residency options.
- Employee data not used for model training: Confirm states that employee data is never used to train its AI models. This is a critical differentiator — but it is a vendor claim. HR leaders should insist on contractual language that explicitly prohibits training on customer data, with audit rights to verify compliance.
The platform also holds third-party validation: #2 ranked easiest to implement on G2 and a Fast Company World Changing Ideas honoree in 2023.
Confirm reports that customers have achieved 50% faster performance reviews and 100% completion rates in their first review cycle. These metrics are self-reported and unverified — treat them as directionally informative rather than independently validated benchmarks.
Evaluation Framework: What HR Leaders Should Ask Before Buying
Before adding Confirm to a shortlist, HR leaders should evaluate the platform across these dimensions:
- Integration depth: Does your organization use the tools Confirm ingests (Slack, Jira, Asana, Salesforce)? The ONA layer's value is directly proportional to the breadth of data it can access.
- Privacy readiness: Has your legal team reviewed ONA-based monitoring against your jurisdiction's workplace privacy requirements? Do you have employee communication plans for transparency?
- Change management: Are managers prepared to act on AI-generated coaching nudges and retention risk alerts? Technology without behavioral adoption delivers zero ROI.
- Vendor maturity: Confirm is AI-native and purpose-built, but the four-agent platform is freshly launched. Ask for reference customers, pilot terms, and performance guarantees.
- Data portability: If the relationship ends, what happens to your ONA data and historical insights? Ensure contractual data export provisions exist.
Frequently Asked Questions
How does Confirm's ONA differ from standard employee monitoring tools?
Traditional monitoring tools track inputs — keystrokes, screen time, application usage. Confirm's ONA analyzes collaboration patterns: who works with whom, how information flows, and where organizational bottlenecks form. The distinction matters for employee relations — ONA is positioned as performance intelligence, not surveillance. That said, HR buyers should verify exactly what data is captured and at what granularity, as the line between "collaboration analysis" and "monitoring" depends on implementation specifics.
Can Confirm replace our existing performance management suite?
Confirm is positioning itself as a full-stack alternative to legacy performance management, not a supplement. With the base four-agent platform plus optional engagement surveys and OKRs, it covers the core performance management workflow. Whether it can fully replace an incumbent depends on your organization's specific requirements around compensation management, succession planning, and other adjacent workflows that Confirm does not currently address.
What is the implementation timeline?
Confirm is ranked #2 for easiest implementation on G2, suggesting a lighter lift than legacy suites. However, ONA effectiveness depends on integration breadth — connecting Slack, Jira, Asana, and Salesforce requires IT coordination and data access approvals. HR leaders should plan for a phased rollout: core platform first, then progressive integration expansion as the ONA data layer matures.