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Comparison · HR
Lattice vs Workable
A side-by-side editorial comparison of Lattice and Workable — release velocity, themes, recent moves, and the top alternatives to consider.
Lattice vs Workable: at a glance
What is Lattice?
Lattice built an AI agent worth visiting, then handed its data to everyone else's.
Lattice runs AI Agent as its own changelog category alongside Performance, Compensation, and Analytics, and the June work built it into something worth opening: the Agent attends 1:1s and captures summaries, action items, and coaching insights, answers data questions with charts rather than prose, and takes voice input. July then pointed the same capability outward. An MCP server exposes Lattice to Claude, OpenAI, and Slack, and AI review drafts are assembled from a person's own 1:1s, feedback, goals, and updates with cited sources. Underneath both, the performance and compensation machinery keeps absorbing manual setup — calibration groups generated from the org chart, approved promotions carried from a review cycle into a comp cycle.
What is Workable?
Workable's hiring agent maps AI decisions to human disqualification taxonomy, closing the reporting gap
Workable is integrating its AI hiring agent deeper into the ATS data model. Agent scores now persist across all pipeline stages, agent-candidate conversations are readable in a side panel without downloading a file, and — most significantly — the agent's auto-disqualification reasons now map to the account's own disqualification categories, making AI and human decisions interchangeable in reporting. Alongside this, the ADP Workforce Now NextGen connector launched on the same timeline as ADP's platform rollout to mid-market customers.
Lattice vs Workable: editorial side-by-side
Lattice
0.0HR
Lattice built an AI agent worth visiting, then handed its data to everyone else's.
◆ Current state
Lattice runs AI Agent as its own changelog category alongside Performance, Compensation, and Analytics, and the June work built it into something worth opening: the Agent attends 1:1s and captures summaries, action items, and coaching insights, answers data questions with charts rather than prose, and takes voice input. July then pointed the same capability outward. An MCP server exposes Lattice to Claude, OpenAI, and Slack, and AI review drafts are assembled from a person's own 1:1s, feedback, goals, and updates with cited sources. Underneath both, the performance and compensation machinery keeps absorbing manual setup — calibration groups generated from the org chart, approved promotions carried from a review cycle into a comp cycle.
◆ Where it's heading
The interesting move is that Lattice stopped assuming it wins by being the app you open. June made the Agent a destination; July made Lattice reachable from Claude, ChatGPT, and Slack instead, which is a bet that being the HR data layer beats owning the chat surface. Review drafts show what that data layer is being accumulated for: the meeting capture, feedback, and goals the Agent has been collecting are now the raw material for the review itself, with citations as the trust mechanism. Compensation is on a slower and more procedural track, closing loops — sending recommendations back for revision, exporting with HRIS IDs attached — rather than adding AI.
◆ Prediction
Expect the review-drafting work and the MCP surface to converge, so a manager can draft an evidence-cited review from Claude or Slack without opening Lattice. Whether compensation gets the same treatment is genuinely unclear from these entries — that area is still being hardened procedurally, and approval chains carry consequences that make an AI draft a harder sell.
Workable
6.3HR
Workable's hiring agent maps AI decisions to human disqualification taxonomy, closing the reporting gap
◆ Current state
Workable is integrating its AI hiring agent deeper into the ATS data model. Agent scores now persist across all pipeline stages, agent-candidate conversations are readable in a side panel without downloading a file, and — most significantly — the agent's auto-disqualification reasons now map to the account's own disqualification categories, making AI and human decisions interchangeable in reporting. Alongside this, the ADP Workforce Now NextGen connector launched on the same timeline as ADP's platform rollout to mid-market customers.
◆ Where it's heading
Workable is building toward a hiring pipeline where AI decisions are structurally indistinguishable from human ones in the reporting and audit layers — same disqualification categories, same pipeline visibility, same scoring columns. The international push (nine candidate languages, French/Danish/Dutch UI) tracks European market expansion where localization is a procurement requirement. LinkedIn job promotion now sold in-app signals increasing investment in the distribution layer alongside the evaluation layer.
◆ Prediction
The next move is likely agent-driven multi-stage advancement based on configurable score thresholds, and possibly agent-managed offer letter generation. The Ideal Candidate Profile edit-and-re-evaluate feature sets up a feedback loop that could evolve into automated ICP refinement based on hiring outcomes.
Alternatives to Lattice and Workable
Other HR products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Lattice or Workable.
Tanda
Tanda ships a natural language reporting agent and expands payroll compliance automation for AU and UK markets.
Ashby
Ashby brings WhatsApp into the ATS, making candidate messaging a first-class workflow.
PeopleForce
PeopleForce expands to frontline workers with a mobile app that skips the corporate mailbox.
Kombo
Kombo expands its unified HR API into Payroll data models, opening a new data category for integration builders.
Ever Gauzy
Ever Gauzy scaffolds an Ever Async integration plugin while the main branch absorbs a high volume of dependency bumps.
See all Lattice alternatives → · See all Workable alternatives →
Recent activity from Lattice and Workable
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoWorkableWorkable's new SEEK integration: Ad Sync
- 1d agoWorkableAI credit usage report
- 1d agoWorkableApproval reminders
- 3d agoWorkableA clearer view of your agent's work ⚡
- 3d agoWorkableWorkable supports ADP Workforce Now NextGen
- 6d agoWorkableBuild employee surveys on the fly
- 3mo agoLatticeAI Agent in 1:1s ⚡
- 3mo agoLatticeRevamped Homepage
- 3mo agoLatticeAnalytics Charts in Lattice Agent
- 3mo agoLatticeVoice Modality
- 3mo agoLatticeAuto-Create Calibration Groups
- 3mo agoLatticeCalibration Group Conflict Avoidance
Frequently asked questions
What is the difference between Lattice and Workable?
They serve adjacent needs but don't currently overlap on shipped themes. Workable is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Lattice better than Workable?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Workable is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other HR products to evaluate alongside.
What are the best alternatives to Lattice?
Top Lattice alternatives in HR are ranked by recent ship velocity. Browse the "Lattice alternatives" section above for the current picks, or visit /alternatives/lattice for the full list with editorial commentary on each.
What are the best alternatives to Workable?
Top Workable alternatives in HR are ranked by recent ship velocity. Browse the "Workable alternatives" section above for the current picks, or visit /alternatives/workable for the full list with editorial commentary on each.