drive decisions, not dashboards

the data intelligence assistant answers workforce questions in plain language, at whatever altitude the asker needs, grounded in your governed data, never a generic chatbot's guess.

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the challenge today

you are going through a ticket, a queue, and a meeting to get just one insight

between a leader's question and its answer sits a queue. DIA deletes the queue.

the ticket path

hop 1question lands in an HR inbox

hop 2ticket raised with analytics

hop 3data exported and reconciled

hop 4dashboard built, access requested

hop 5meeting scheduled to walk through it

days to weeks, per question

the ask path

ask“which critical roles have no ready successor?”

answernamed list, reasons, and the recommended next action, with a chart when a chart helps

one conversation, in the flow of work

agentic intelligence for leaders

take people decisions backed by performance insights

Ask DIA anything about your workforce in plain language and get the performance intelligence leaders need to act early, reward right, and protect what matters most.

Whatever the performance question, DIA surfaces the signal, interprets the pattern, and recommends the action.

Which teams are at risk of missing Q2 targets?

querying performance data

Goal Scores

Attrition Signals

Revenue Attribution

Manager Index

agents analysing

Sentiment Analysis Agent

Feedback Agent

Goal Intelligence Agent

Hi Sharon, here's what I found.

Q2 Target Risk Assessment

teams flagged

Sales East at 62% goal completion, Engineering at 71%, both trending below target. 4 high performers in Sales East flagged for attrition risk. Recommend: reallocate pipeline support and initiate retention conversations.

Show attrition risk by team

Manager effectiveness scores

Calibration readiness

one question, answered at three altitudes

“how bad is our attrition problem?” means something different to each asker. DIA speaks the right language to the right level, from the same governed truth, and every answer is scoped in real time to what the asker is entitled to see.

to the CEO

exposure and trend. attrition is 2.1 points above plan, concentrated in revenue-critical roles; projected cost of inaction this year, and the two moves that change the curve.

to the CHRO

drivers and programs. the risk clusters around manager span and stalled growth paths; here are the affected populations, and the engagement and mobility levers with the best expected lift.

to the manager

names and next steps. three people on your team show early risk signals; a growth conversation is suggested for each, with talking points drawn from their goals and skills.

what happens when the queue disappears

I am now able to review 40 appraisals in less than a day. Previously, that would have taken me at least 4 to 5 hours per day over five working days. Director of government resource planning, UAE government entity, from Forrester's study of entomo

the same study recorded $26.8M in benefits and 103% ROI over three years at the platform level.

90%less manual dashboard creation reported by teams once DIA answers directly.

in teamsa Japanese IT major runs a gen-AI assistant inside Microsoft Teams, comparing sales opportunities and suggesting next steps for new joiners.

under a minuteto generate a personalized KPI library for a role, with evidence-based review summaries in minutes.

how DIA differs from a copilot

what stops it making things up?

DIA answers from structured workforce intelligence: axon's governed graph, your enterprise context, and decision logic built for talent questions. It queries your data and shows its working; it doesn't improvise from an internet-trained memory the way a generic assistant does.

who can ask what?

Access follows your governance, down to the individual. A manager's answers cover their team; an executive's cover the enterprise. Same assistant, different scope, enforced by the platform's ISO/IEC 27001:2022 certified access layer.

what can it actually produce?

Everything from a one-line answer to a chart to a full ISO 30414-aligned human capital report, plus actions: nudges routed to owners, reviews drafted for approval, KPI libraries generated per role. Answers that end in something done, not just something known.

where does it live?

In the flow of work: inside the entomo workspace and in the tools your teams already use, the way one enterprise client runs its assistant inside Microsoft Teams. The point of the ask path is never switching context to use it.

what is a data intelligence assistant?

DIA is entomo's data intelligence assistant. it answers a workforce question in plain language at whatever altitude the asker needs, grounded in your governed data rather than a generic chatbot's guess. the same question returns exposure and trend to the CEO, drivers and programs to the CHRO, and names and next steps to the manager, each scoped to what that person is entitled to see.

ask your hardest workforce question first

bring it to the demo. DIA answers on the platform behind millions of users, Forrester-validated at 103% ROI over three years.

ask DIA live →