Measure. Coach. Close.
On repeat. The fastest, most precise way to make a workforce AI ready that exists today.
AI READINESS
Make your workforce AI ready. Measured. Verified. On repeat.
Workera is the only platform that measures AI readiness with the precision of granular skills assessments and the continuity of an always-on signal. Establish the baseline, close the gap, and re-measure on the work itself. No annual snapshots. No self-reports. No guesswork.
Every enterprise is being asked
if its workforce is AI ready.
Almost none of them can answer.
Boards want a number. CEOs want a number. Investors want a number. What most enterprises hand back is a slide deck of completion rates, a vendor's self-attested certification count, and a confident shrug. The cost of that blind spot shows up everywhere AI gets deployed and nowhere AI gets adopted.
Content that ages the moment it ships
A one-time survey or training completion log is a photograph of yesterday's workforce. AI capability shifts weekly. The picture you make decisions on is out of date before the slide is built.
Self-reports that flatter the report
Confidence surveys, badge counts, and course completions tell you what people clicked. They do not tell you what people can do. The gap between the two is where AI rollouts stall.
Coverage without precision
Generic AI literacy curriculums train everyone in skills most people already have, while the specific gaps that block deployment go unidentified and unaddressed. The spend compounds without the outcome.
Two engines. One signal. Precision and continuity, working together.
Workera is the only platform that does both of the things AI readiness actually requires. Granular, engaging skills assessments establish the baseline. Ambient turns that baseline into a living signal, in the flow of work, on repeat.
ENIGNE 1. SKILLS ASSESSMENTS
Precision baseline. Granular. Engaging. Verified.
Workera's skills assessments measure AI capability at the behavior level, not the badge level. Built on original skills science. Calibrated against real workflows. Designed to feel like the work itself, not a multiple-choice form. The result is a baseline you can defend to a board, a regulator, or a hiring manager.
Granular signal across the AI capability stack, from prompt design to agentic workflows to model selection to AI ethics
Engaging, scenario-based formats that people actually finish, with completion rates that outperform legacy testing tools
Verified, not self-reported. Every score is anchored to demonstrated capability against a calibrated rubric
Cohort, function, and individual rollups, configurable to the same readiness framework leadership reports against
ENGINE 2. AMBIENT
Always-on signal. In the flow of work. Coaching included.
Ambient is the first always-on capability measurement system for the enterprise. It reads AI capability from the tools your people already work in, surfaces the gaps the assessments could not anticipate, and closes them with AI-personalized learning coached in the same surface. Measure, coach, close. On repeat.
Continuous, passive signal from the apps your workforce already opens every day. Zero new portals, zero new behavior
Triggers the next assessment surgically, against verified gaps, instead of carpet-bombing the org with generic AI training
AI-personalized learning generated on demand, coached in the flow of work, against the user's verified gap and goals
Consent-first by default. The individual sees their data first. Managers and admins see aggregate only. Users opt in to share more
Six dimensions. Measured at the behavior level. Reported in real time.
AI readiness is not a single number. It is a multi-dimensional picture of capability that holds up against deployment, regulation, and growth. Workera measures all six, on the same signal, in the same surface.
1
AI fluency
Foundational understanding of how AI systems behave, what they do well, and where they fail. Calibrated for role and seniority, from individual contributor to executive.
Measured by: assessment baseline. Continuously refreshed by Ambient signal from daily AI tool use.
2
Prompt and agent design
The ability to frame a problem for a model, iterate on prompts, design agentic workflows, and evaluate outputs against the work. The skill that separates AI users from AI builders.
Measured by: scenario-based assessments. Verified by Ambient against actual prompts and agents in production.
3
Model and tool judgment
Knowing which model to pick, which tool to reach for, and when to escalate to a human. Cost, latency, accuracy, and risk traded off in the moment, not in retrospect.
Measured by: targeted assessments per role. Re-measured by Ambient as new models and tools enter the workflow.
4
AI risk, ethics, and governance
Reading the regulatory and ethical surface of a deployment. Spotting bias, privacy, and safety issues before they ship. Defensible to legal, procurement, and the board.
Measured by: calibrated assessments aligned to leading AI governance frameworks. Surfaced by Ambient in high-stakes workflows.
5
Applied AI in role
The specific AI capability your function needs to ship its work. Sales prospecting. Customer support. Marketing copy. Engineering code review. The translation from generic AI fluency to job-relevant outcomes.
Measured by: role-specific assessment packs. Verified continuously by Ambient against work output.
6
Durable, human skills
The skills that outlast every model release. Judgment, communication, delegation, leadership in a world of humans and agents. The skills AI does not replace, and the ones that decide whether AI lands.
Measured by: behavior-based assessments. Read by Ambient from real workplace artifacts, with the user's consent.
The readiness journey
Baseline the workforce.
Close the gaps. Verify the close.
All in one surface, on one signal.
One continuous loop, two engines working together. Establish the baseline with skills assessments. Keep it alive with Ambient. Trigger the next assessment surgically against a verified gap. Re-measure on the work itself. No annual cycle. No waiting.
Granular skills assessments
Calibrated, engaging, scenario-based. Measures AI capability at the behavior level across the six dimensions of readiness.
Continuous, passive signal
Ambient reads capability from the apps your workforce already opens every day. The baseline turns into a living picture, refreshed in real time.
Coach the gap. Deploy the next assessment.
AI-personalized learning is coached in the flow of work against verified gaps. When the next checkpoint matters, the right assessment is triggered surgically, not org-wide.
Re-measure on the same signal
Gap-close is observed, not self-reported. Aggregate readiness moves in real time. Every talent decision downstream runs on a picture of the workforce as it is today.
LEADER EXPERIENCE
Configure a defensible hiring program in minutes.
A self-serve setup flow where the admin selects program type, configures capabilities, sets proctoring depth, and launches. Same engine, same content, same scoring across every program mode. Configuration changes the assessment environment, not the content.
FOR THE CEO
Answer the AI readiness question with a number you can defend.
The board, the investor, and the customer all want to know if your workforce is AI ready. Workera gives you a verified, continuously refreshed number across the six dimensions that actually matter.
A defensible readiness number
Aggregate readiness across the workforce, anchored to behavior-level assessments and a continuous signal from the work itself. Not a completion rate. Not a confidence survey.
A picture that refreshes itself
No annual exercise. The number moves as the workforce moves, in the same surface where the closing happens.
A talking point that compounds
Each quarter, the readiness picture sharpens. Investors and boards see the trend. Customers see a workforce capable of delivering against an AI-era contract.
A category-defining position
"We do not approximate AI readiness. We measure it." That is a story only the companies running on Workera get to tell.
FOR THE CHRO
Reskilling that hits the actual aggregate gaps.
Replace generic AI literacy programs and self-attested certifications with verified, behavior-level capability that compounds. Every reskilling dollar targets a gap the signal just confirmed.
Precision over coverage
The assessment baseline plus the Ambient signal points L&D investment at the specific aggregate gaps that block AI deployment, not the ones the catalog assumed.
Internal mobility on AI capability
Transferable AI capability becomes visible at the cohort level. Critical AI roles get filled from inside before the search firm gets the brief.
Retention of AI-fluent talent
Employees see their growth in their hands, with personalized learning coached in the flow of work. People stay where they can become more capable.
Defensible to legal and works councils
Consent-first by default. The individual sees their data first. Aggregate-only reporting. The procurement and compliance conversation lands quickly.
FOR THE CTO / VP of AI
Know which teams are ready to ship AI, before you ship.
The bottleneck is rarely the model. It is whether the workforce can build, evaluate, and operate the system. Workera tells you, team by team, in real time.
Readiness at team granularity
Aggregate readiness across the AI capability stack, by function and cohort, in real time. Launch where the signal is green. Coach where it is amber.
Verified, not self-reported
Engineers, product managers, and analysts get assessed against the actual work, not against credential lists. Skill claims survive the deployment.
Coaching where your people already live
Ambient delivers personalized coaching in the AI surfaces your workforce already uses every day. Learning meets the user in the flow.
A capability graph that compounds
Every loop sharpens the picture. The aggregate AI readiness signal becomes an institutional asset no competitor can replicate on day one.
FOR THE CLO
From AI training catalog to AI capability engine.
Stop reporting completions. Start reporting capability moving. Workera turns the L&D function from a content provider into the engine of organizational AI readiness.
Personalized at the user, accountable at the cohort
AI-personalized learning is generated against each user's verified gap and goals. Cohort-level readiness rollups show what the workforce can do, not what they clicked.
Surgical assessment, not org-wide testing
Ambient surfaces where a verified assessment is worth running. The right people get the right test at the right moment. The signal pays for itself in saved cycles.
Reporting that means something
L&D dashboards stop counting completions and start showing aggregate AI readiness moving. The conversation with the CEO changes.
Durable skills, finally measurable
Judgment. Leadership. Communication. The skills that outlast every model release are also the hardest to test. Workera reads them from the work itself.
Every AI investment pays back faster when the workforce signal is real.
Better aggregate data sharpens every decision. The closed loop sharpens every employee. AI deployments land where they belong: in production, on outcomes, on time.
Time to ready
3x
Faster baseline of workforce AI readiness against assessments built for the AI era, not bolted onto pre-AI testing.
Pilot to first readiness number in weeks
Coverage to precision
6 dims
Behavior-level signal across AI fluency, prompt design, model judgment, AI risk, applied AI, and durable skills.
Replaces single-score literacy scoring
Inside the F500
10%
Of the Fortune 500 already run on Workera. Ambient is the fastest-growing surface on the platform.
Highest-ever scan volume this quarter
Everything you need to put a real number under "AI ready."
The Index Bundle pairs Workera's calibrated AI skills assessments with an Ambient signal across your workforce, then benchmarks the result against the broader AI economy. It is the deliverable boards ask for, the diagnostic CHROs run on, and the baseline every other readiness conversation should start from.
Calibrated AI skills assessments, across all six readiness dimensions
Granular, engaging, scenario-based. Deployed at the cohort level, scored against Workera's published rubrics.
Ambient enabled across your sample workforce
Always-on capability signal from the apps your people already work in. Aggregate by default, consent-first throughout.
A benchmarked AI Readiness Score
Your workforce's score across each dimension, plotted against industry and function peers in the AI economy.
An executive readout, ready to present
One narrative for the board, one diagnostic for the CHRO, one capability plan for the CTO. Same data, three views.
A measure-to-growth roadmap
Where to coach, where to deploy the next assessment, where to invest. The Index Bundle is the start, not the finish.
Introducing the AI Readiness Index Bundle
Is your team AI Ready? Prove it.
A defensible, board-ready baseline of AI capability across every function, every level, every role. Five enterprise AI personas. Ten signature assessment domains. One Index your CEO can act on. Bundled with Ambient to keep the signal alive long after the baseline ships.
Download Solution Brief
5
Enterprise AI personas, frontline to C-suite
10
Signature assessments in the bundle
100+
Additional assessments in the catalog
NOW AVAILABLE
AI Readiness Index Bundle
Skills Assessments and Ambient, bundled into one starting motion.
Skills Assessments
Across the six dimensions of AI readiness.
Ambient deployment
In the flow of work, across your sample workforce.
Benchmarked AI Readiness Score
Against industry and function peers in the AI economy.
Executive readout
One narrative for board, CHRO, and CTO audiences.
Capability plan
Mapped to the surfaced gaps with next steps.
Forward-deployed support
Workera engineering, available throughout the engagement.
FAQ
Most AI readiness scoring today is one of three things: a completion rate, a confidence survey, or a vendor-issued certification. None of them survive contact with the actual work. Workera measures at the behavior level with calibrated, scenario-based assessments, then refreshes that baseline continuously with Ambient, which reads capability from the tools your workforce already uses every day.
Verified means observed. Not self-reported, not credentialed. The same signal that surfaces a gap is the one that verifies it closed.
Generic AI literacy programs assume the same gap across every employee. Workera identifies the specific aggregate gaps that block your AI deployments and closes them precisely, in the flow of work, with AI-personalized learning coached in the same surface. You spend less on training, and the spend lands on the gaps that move the readiness number.
You can start with either, and many customers do. The AI Readiness Index Bundle is built to give you the value of both, fast, in a single bundled motion. The assessments give you the precision baseline you can defend. Ambient keeps that baseline alive so the readiness number stays current and the gaps get closed in real time.
Ambient is built on the same consent architecture that drove voluntary adoption of every health wearable on the planet. The individual sees their data first. By default, no individual user data is shared with managers or admins. Aggregate only. Users choose what else to share, in the app, any time, and revoke the same way. The personal growth and the professional growth show up in the same view, which is why adoption looks like a consumer product, not an enterprise mandate.
The AI Readiness Index Bundle is designed to deliver a first defensible number in weeks, not quarters. Skills Assessments deploy at the cohort level immediately. Ambient stands up across a sample workforce with the apps your people already use. The benchmarked score and executive readout follow on a clearly scoped timeline.
Workera sits on top of the systems you already run. The assessments and Ambient signal feed your HRIS, ATS, and L&D tools so the picture of your workforce that lives in those systems gets more accurate, not more fragmented. Over time, the parts of the stack that pre-date the AI era stop earning their seat. The capability layer absorbs them.
Yes. The AI Readiness Index Bundle plots your workforce against industry and function peers in the AI economy, across each of the six readiness dimensions. The benchmark is the answer to "are we ahead, behind, or in the middle of the pack." The capability plan is the answer to "what do we do about it."
Put a real number under
"AI ready." The rest follows.
Talk to us about the AI Readiness Index Bundle. Five enterprise AI personas, ten signature assessments, Ambient enabled across the sample, and forward-deployed engineering to stand it up fast.