// By workforce

Understand the digital workday across your enterprise

Bring workforce patterns, device health, and AI adoption into one governed view. Find friction across teams and regions, then give the right teams the context to act.

Book a demo Start free trial

At enterprise scale, workforce intelligence usually comes from five disconnected tools — one for productivity, one for attendance, one for AI usage, one for endpoint security, one for analytics — each with its own login and its own number for the same person. But the real problem isn't tool fragmentation: it's that IT's device view, Operations' work patterns, and AI leaders' adoption insights never talk to each other. Small friction points that show up on one dashboard disappear on another, so leaders can't see where to start. Momentum connects workforce patterns, device health, and AI adoption into one governed view, so teams can find friction and act on it together.

// Business problem

Disconnected signals make workday friction hard to see.

01 — Fragmented visibility

Productivity, attendance, AI usage, and endpoint risk each live in a different tool, with a different number for the same person.

02 — Governance gaps

Access, audit, and residency requirements rule out most monitoring tools before procurement even starts.

03 — No enterprise-wide number

Every subsidiary defines "productive" differently, and leadership has no single, defensible view of the workforce.

// Who uses it

One platform across the enterprise

Momentum gives each stakeholder a different view of the same workforce data — no separate tool per team, no reconciling numbers between them.

Enterprise team	What they get	What they can do
IT & Security	Device governance, endpoint compliance, SSO/SCIM, audit logs	Investigates device issues and security gaps
HR & People	Attendance, workforce trends, workload & overwork signals	Reviews sustained overwork patterns to protect team health
Operations	Productivity, utilization, expected vs actual work patterns	Checks workload and focus across teams to optimize capacity
Business Leaders	Workforce health, department trends, workforce visibility	Tracks enterprise-wide trends and makes informed decisions
AI / Transformation	AI adoption, usage trends and department-level adoption	Targets enablement and measures adoption impact by team

// Business outcome

A shared picture of work, devices, and AI adoption.

5-in-1

Tools replaced

SOC 2

Type II certified

24/7

Premium support

Illustrative outcome, modeled from typical rollouts — not a specific customer result. See real customer results →

// Product details

How this plays out for enterprise

At scale, small sources of friction become hard to locate

A team shows more after-hours activity while its managed devices need attention. Operations sees the work pattern in the dashboard, IT sees the device posture elsewhere, and nobody connects the two. One subsidiary's focus metrics are different from another's, and leadership can't spot the friction points hiding in the gaps between systems. When signals are fragmented, small problems compound silently until they become big ones.

?■ active■ idle?

No shared picture

One platform underneath every team

Momentum runs productivity monitoring, attendance, AI adoption tracking, and endpoint security on one multi-tenant platform instead of five separate vendors. Underneath it, Tenant Management isolates each subsidiary or region with its own admins and hard-walled data, the Machines module gives IT a real device lifecycle — Pending, Approved, Rejected, remote uninstall — and Logs cover Daemon, Installer, Task Scheduler, and Upgrade events for auditability. That governance is the foundation; productivity, attendance, AI adoption, and security are what actually get used day to day.

Live timeline

9:00■ active■ idle18:00

One defensible number set for the whole org

A month after rollout, leadership reads a single Workforce Dashboard per tenant, anchored by a Workforce Health Score that rolls up productivity, attendance and compliance, security, and AI adoption: organization strength, average active desk time versus the expected desk hours set in General settings, expected-vs-actual trends, and top and lowest departments. Because Global App Rules plus department overrides encode each unit's definition of productive work, the comparisons survive scrutiny — from the board, from works councils, and from the employees who can see their own numbers.

+30 days

// After the 30-day baseline

Momentum never asks you to judge on day one. Collect a month of Timeline data, then set targets from your own expected-vs-actual trend — and watch it move.

+30d

baseline → lift

momentum · enterprise · dashboardLIVE

After-hours activity trend12% above baseline

Device posture (critical patched)94% compliant

AI adoption by departmentAvg 71%, range 56–88%

Team focus continuity (avg)73% of target

productivenon-productiveunmarked

// Metrics to watch

The numbers that tell you it's working

Every one of these lives on the Momentum Workforce Dashboard — no exports, no spreadsheets. Set your workday, expected desk hours, and target productive hours in General settings, and watch the expected-vs-actual gap close week over week.

KPIs update as agents report in

Expected-vs-actual trend per department

Drill from any number into an individual Timeline

// The playbook

From install to insight in four moves

A proven rollout sequence using real Momentum modules — agents, machine approval, department app rules, and the dashboard.

01 — Structure your tenants

Use Tenant Management to create a tenant per subsidiary or region and onboard each one by invitation email. Data stays isolated per tenant from day one.

02 — Govern the device fleet

Deploy agents through your standard rollout, then run the Machines lifecycle: approve known hardware, reject the rest, disable login or remotely uninstall on offboarding, and enable auto-approval only for controlled waves.

03 — Standardize, then delegate rules

Set Global App Rules centrally — Productive, Non-Productive, Unmarked — and let each Department override where their work differs. One policy spine, local nuance, zero spreadsheet debates.

04 — Turn on analytics and AI adoption

Once the baseline is running, switch on workforce analytics and AI adoption tracking tenant-wide — the same rollout now gives you productivity, attendance, security, and AI usage from one dashboard, not four projects.

// How Momentum helps

A clearer picture for enterprise

Momentum brings the signals that matter into one fair, real-time view — so leaders can act on evidence and teams can trust the numbers.

momentum · enterprise · timelineLIVE

12% above baseline

After-hours activity trend

94% compliant

Device posture (critical patched)

Avg 71%, range 56–88%

AI adoption by department

today · workday timeline

9:00■ active■ idle18:00

78%

prod. score

Productivity, attendance & workforce analytics

AI adoption tracking

Endpoint security & compliance

SSO, SCIM & multi-tenant governance

Illustrative dashboard mockup — figures are not from a specific customer.

momentum · enterprise · ai adoptionLIVE

71%

org adoption

Engineering88%

Sales56%

Support69%

Adoption trend · 8 weeks

Illustrative dashboard mockup — figures are not from a specific customer.

// AI adoption

Understand AI adoption across the enterprise

Every business unit is rolling out AI tools right now, and most leadership teams are flying blind on whether any of it stuck. Momentum tracks AI adoption alongside the productivity data it already collects — no separate reporting system, no extra rollout.

Which teams are using AI tools

Which AI applications are being adopted

AI usage by department

Changes in AI adoption over time

AI usage alongside productivity patterns

Give leadership visibility into AI adoption without adding another reporting system.

Explore AI Adoption Analytics →

// Questions

Questions Enterprise usually ask

How is data kept separate between subsidiaries?+

Each subsidiary or region runs as its own isolated tenant with its own settings, app rules, and machine register. Data never crosses tenant boundaries, so every unit's numbers stay within that unit.

Does this replace our separate productivity, attendance, and AI-usage tools?+

Yes. One platform covers productivity monitoring, attendance, AI adoption tracking, endpoint security, and workforce analytics — instead of five separately procured tools with five different numbers for the same person.

How do we handle offboarding and lost devices?+

From the Machines module an Admin can disable agent login or remotely uninstall the agent. The device drops out of reporting immediately, and the action is visible in the machine register.

Who actually uses this day to day — is it just IT?+

No. IT sees devices and compliance, HR sees attendance and burnout signals, Operations sees utilization and capacity, leadership sees workforce health, and AI or transformation leads see adoption analytics — the same underlying data, a different view per team.

See how Momentum connects workforce and digital experience signals across your enterprise

Book a 30-minute demo tailored to how your team works.

Book a demo Start 14-day free trial