Best AI enablement platforms in 2026: what an enablement team actually buys

What the search results mean by the term

We searched the target phrase on October 16, 2026. The pages that come back use “AI enablement platform” for three different things.

• Metorial’s “Best AI Enablement Platforms in 2026: 7 Options Compared” (last updated September 25, 2026) says the term covers several products because vendors start from an assistant, a search index, a model gateway or a tool connection layer. Its seven are Metorial, Microsoft Copilot Studio with Agent 365, Glean, Gemini Enterprise, Obot, MintMCP and TrueFoundry. Most connect AI to company apps.
• iEnable’s “How to Choose an AI Enablement Platform (2026)” (February 28, 2026) defines the category as a platform that gives every employee a personal AI enabler with governance, learning and coordination. Its first of eight criteria is per-employee personalization.
• Torii’s “6 AI Tool Onboarding and Provisioning Platforms for 2026” (June 8, 2026) treats enablement as access: shadow AI discovery, provisioning and agent identity. Its six are Torii, BetterCloud, Lumos, Nudge Security, Okta and Zluri.

Each is a fair answer to a narrower question than the one an enablement lead has. Each is also written by a vendor on its own list. Metorial’s list opens with Metorial. Torii’s table opens with Torii, and gives Torii three three-star ratings, more than any other row. iEnable’s first criterion uses iEnable as its top example. That is normal. We are a vendor too, so Nolli is on this list, and under the rule below it comes last.

We left out general enterprise AI platforms, meaning assistants, agent builders and model hosts. They answer “which AI do we run”, and an enablement lead is asked “why isn’t anyone using it”.

Five jobs, one loop

In the ten public postings we read for our piece on the role, measurement appears as a full duty in all ten. Choosing which use cases to work on is a full duty in four. That uneven spread matters when you shop, because most vendors sell the part that is easiest to put in a dashboard. We split the job into five parts.

1. Find use cases: decide which work AI takes on first, and which requests to turn down.
2. Track adoption and impact: who uses what, how often, and whether the work changed against a baseline.
3. Govern and provision tools: which tools are approved, who gets a seat, what agents may connect to, and what happens at offboarding.
4. Train people and build champions: teach the skills, and find the people who already use AI well.
5. Share skills and prompts: make what one team worked out available to the next.

Which product covers which job

Read the grid by row. Measurement is crowded, with five products rated full. Every other row has exactly two. Governance belongs to Torii and Willow, training to Section and AI Champions, use-case finding to Workhelix and Nolli, and skill sharing to Willow and Nolli. Read it by column and no product is full on more than three. That is the case for buying by job.

The 8 products, in buying order

1. 01

   Microsoft Copilot Dashboard (Viva Insights)

   Best for a free first look at adoption when Microsoft Copilot is your main AI tool

   A dashboard inside Viva Insights that reports readiness, adoption, impact and sentiment for Microsoft Copilot. Microsoft’s page says any customer with a Microsoft 365 or Office 365 business or enterprise subscription and an active Exchange Online account can see it. It says neither a paid Viva Insights license nor a Copilot license is needed to view it.

   Strengths

   • No extra license to view it, per Microsoft’s page.
   • Tenants with at least 50 Copilot licenses or 50 Viva Insights licenses also get agent insights, benchmarks, intelligent summaries and Pulse and Glint survey data.
   • Metrics roll up by tenant or group, with HR filters.

   Limits

   • The part we read covers Microsoft Copilot, Copilot Chat and agents. It says nothing about ChatGPT, Claude or Gemini use.
   • It lists no use-case finding, training or governance features, only measurement.

   Pricing No separate license to view it, per Microsoft’s page. Some features need 50 or more Copilot or Viva Insights licenses.Vendor page

2. 02

   Worklytics

   Best for measuring AI use across several tools, with a price you can read

   Connects tools a company already runs (Slack, Microsoft Copilot, Gemini, Zoom and more, per its page) into one view of AI adoption by team and role. It sorts AI activity into work categories such as coding, research, analysis, summarization and drafting. Its pricing page says it stores metadata only, never email or message content.

   Strengths

   • Tracks usage by team and role, with goals and trends over time.
   • Exports raw data to your warehouse or BI tools. The pricing page puts the data pipeline and row-level data on the Enterprise plan.
   • Data is aggregated and de-identified by default, per its pricing page.

   Limits

   • AI adoption insights are not in the free plan. They start on Business, which allows up to 5 integrations.
   • Its ROI method compares teams with high and low AI use over the same period. That shows a link, and a link is not a cause, so keep your own baseline.
   • The page lists peer benchmarking as available in summer 2026. We could not tell whether it is live.

   Pricing Published. Free for up to 100 users, calendar data only. Business from $2,500 a month. Enterprise is custom.Vendor page

3. 03

   Workhelix

   Best for setting AI use against what each role could be capturing

   Workhelix Nucleus puts usage from tools such as ChatGPT, Claude and GitHub Copilot into one view, then sets it against two benchmarks: what a role could be capturing, and what your own best users already achieve. It maps usage against use cases and tracks agents, skills and custom GPTs. Its page says economists Erik Brynjolfsson and Andrew McAfee founded it.

   Strengths

   • Starts from flat files or platform metadata and moves to automated pipelines later, so a first project can be small.
   • Maps usage against use cases to show work that should be running on AI and is not.
   • Tracks custom GPTs, skills and agents, and who uses them.

   Limits

   • The use-case view rests on research into what roles could capture, not on watching your own teams work, as far as its page says. Ask how it handles work specific to your company.
   • The page cites a research base (250,000+ tasks analyzed, a methodology published in Science). We did not open the paper, and the page shows no result from a company your size.

   Pricing Not published.Vendor page

4. 04

   Torii

   Best for finding and governing every AI tool people use, with spend attached

   A SaaS management platform that also covers AI. Its home page says it discovers SaaS, AI and desktop apps continuously from finance, identity, HR and browser-level signals. Access requests run through the app or chat with owner approvals, and onboarding and offboarding are automated. Its AI Dashboard tracks AI spend by time, user and model, and flags overlapping AI tools.

   Strengths

   • Discovery draws on several signals, so tools bought on a card or used with a personal login can still surface, per its home page and its own article.
   • License reclamation from live usage data, plus renewal alerts.
   • SOC 2 Type II and GDPR compliant, per its home page.

   Limits

   • Built around apps, licenses and spend. Its pages list no use-case finding, training or skill sharing.
   • Its pricing page lists AI adoption rates and AI investment ROI reporting, with no detail on how either is measured.

   Pricing Not published. The pricing page names three products (IGA, SMP, AI Management) and shows no numbers.Vendor page

5. 05

   Willow

   Best for governing AI agents and tool connections, with shared skills attached

   A control plane between employees’ agents (Claude, Cursor and ChatGPT, per its page) and company tools. Admins set tools, skills, groups and policies once. Employees pick from an approved catalog and access is provisioned from their identity. Endpoint sensors report the tools and skills in use, approved or not.

   Strengths

   • Extends Okta and Entra ID, with SCIM provisioning and deprovisioning, per its page for IT leaders.
   • A shared Toolshed where people create and share skills.
   • A browser extension and endpoint sensors flag unmanaged agents and MCP servers.
   • Runs as SaaS, self-hosted or air-gapped. SOC 2 Type II.

   Limits

   • Built around agents and MCP connections. Observability is on its list, but we found no adoption metrics or training on its pages.
   • It governs access. It does not tell you which work AI should take on.

   Pricing Published. Free for up to 15 users and 15 integrations. Enterprise is talk to us.Vendor page

6. 06

   Section

   Best for training plus measurement when you want a vendor to run the program

   Sells software and services. Section HQ measures AI usage and proficiency, connects to LLMs, AI tools and people systems, and models ROI from your own assumptions. Around it sit coaching for every employee, live sessions for executives, a one-sprint audit and plan, and embedded operators.

   Strengths

   • Says what it will not claim. The HQ page says it quantifies adoption, proficiency signals and use-case momentum, and will not claim a universal ROI number.
   • Training, measurement and an AI roadmap from one vendor. The pricing page lists AI use case discovery and sharing in its company plans.
   • SOC 2 Type II certified, per its HQ page.

   Limits

   • Much of the value is services: workshops, embedded operators, prioritization sprints. The HQ page has a question on what HQ includes versus services, and the answer did not load in the text we read.
   • The home page shows customer outcomes with no method. We left them out.

   Pricing Partly published. AI Academy is $41 or $82 a month for individuals, billed annually, and $750 per seat for teams under 100. Section HQ and the transformation plans show no price.Vendor page

7. 07

   AI Champions

   Best for building the habit after the training day, through short daily practice

   Runs role-specific fluency programs and a tool called Momentum. Momentum sends each employee a two to three minute practice task through Microsoft Teams or Slack, asks them to log where they used AI at work, and shows managers fluency scores by team. Its home page says it has trained more than 7,000 professionals.

   Strengths

   • Works with any AI tool, per its page, and meets people in Teams and Slack.
   • Splits its measurement model into fluency, adoption, application and impact, and says Momentum only collects evidence that connects to broader impact measurement.

   Limits

   • Its adoption view rests on practice scores and what employees log themselves. The page describes no link to AI tool usage data.
   • The dashboards on its pages are labeled sample or illustrative, and the home page figures come with no method. We left them out.

   Pricing Not published.Vendor page

8. 08

   Nolli

   Made by Nolli

   Best for finding where AI belongs from how teams work, then proving and sharing it

   Nolli maps how each team works from people’s work on company devices, the email and calendar your company connects, and the logs of the AI agents people use. It ranks use cases by hours and cost, shows adoption by team and workflow, and turns what works into skills, SOPs and agents. Agents run in shadow mode first, scored against what your people did.

   Strengths

   • Finds use cases from observed work, not from requests and workshops.
   • Measures the same workflow done by people, by people with AI and by agents, on time, quality and cost per task.
   • Shows unused and overlapping AI seats next to the model cost per task.

   Limits

   • Its pages describe no access provisioning or identity features. Use a governance tool for that.
   • It does not run training or a champion network, and on-screen help is not live yet.
   • No public price, no published customer numbers, and less technical detail on its pages than older vendors. Ask for a security walkthrough.

   Pricing No public price. Request a demo.Vendor page

Where each product’s numbers come from

This is the column buyers skip. A dashboard built on one vendor’s usage logs shows what that vendor’s tool did. A tool that reads signals from finance, identity and the browser can see tools nobody approved. A practice app only knows what people tell it.

Tools or work, report or act

The empty corner is the useful finding. Nobody on this list both reads the work itself and controls the tools. If you need both, you will buy two products, and the two have to agree on what a team, a tool and a workflow are.

Pick this, skip that

• Pick Microsoft’s dashboard if

  Copilot is nearly all of your AI use and you want a first count that costs no extra license.

• Pick Worklytics if

  you run two or more AI tools and want usage by team and role, with a price you can read before you call anyone.

• Pick Workhelix if

  you want usage set against benchmarks and a map of use cases your roles could be covering, and you can start from exports.

• Pick Torii if

  the problem is unknown tools, idle seats and AI spend, and you want access requests and offboarding handled in one place.

• Pick Willow if

  employees connect agents such as Claude, Cursor or ChatGPT to company tools and you need identity, approvals and an audit log.

• Pick Section if

  you want a vendor to run training, coaching and the roadmap with you, and a services-heavy buy suits you.

• Pick AI Champions if

  you already ran training, usage faded, and you want short daily practice in Teams or Slack.

• Pick Nolli if

  you need to find and rank use cases from how teams work, across screen, email and agent logs, and share what works. Skip it if governance or training is your first gap.

• Skip all of them for now if

  you are still on one team. A ranked spreadsheet of use cases, the admin dashboards of the tools you pay for and a shared folder cover the five jobs well enough to start.

What to buy first

The order below is our suggestion. No vendor above publishes a rollout order, and we are not quoting one.

Mistakes buyers make

1. 01

   Buying a platform before naming the job

   A vendor that says “AI enablement” may mean provisioning, search, a personal assistant or a dashboard. Write down which of the five jobs is failing first.

   Do this todayPut the five jobs on a page and circle one before you take a demo.

2. 02

   Treating logins as impact

   A usage dashboard counts activity. It does not show that the work changed. Set a baseline for time per task before the tool goes live, and see how to measure AI impact.

   Do this todayTime ten recent cases of one workflow now. You cannot do it later.

3. 03

   Governing only the tools IT approved

   Tools bought on a card or used with a personal login do not appear in an approved list. Ask each governance vendor how it finds shadow AI. Torii names finance, identity, HR and browser signals. Willow names a browser extension and endpoint sensors.

4. 04

   Training before you know where use stalls

   A company-wide course reaches everyone and fits no one. Let the usage data pick the teams first.

5. 05

   Trusting a list that crowns its author

   The three lists in the first section each put the author’s product first or write criteria that suit it. Ours puts Nolli last on a stated rule. Check any list for the same thing, ours included.

What we left out, and could not find

Nexthink’s AI Activation Hub is the nearest thing to one product here. Its page says it brings AI tool discovery, governance policies, employee guidance and adoption measurement together. We left it off to keep the list to eight. If you already run Nexthink, read it first. WalkMe’s AI adoption analytics page was too thin to support any claim, so it is out. Glean, Copilot Studio and the other assistants and agent builders in Metorial’s list answer which AI to run, so they are out too.

We found no independent review or customer reference we could check for any of the eight. Prices are missing for most. We could not read the answer to Section’s question on what HQ includes versus services, and we did not confirm that Worklytics’s peer benchmarking is live or open the research behind Workhelix. Pages were read as extracted text, and a vendor may have changed one since. Treat every mark in the grid as a question to put to the vendor.

Sources

1. “Best AI Enablement Platforms in 2026: 7 Options Compared.” Metorial, last updated September 25, 2026; accessed October 16, 2026.
2. “How to Choose an AI Enablement Platform (2026).” iEnable, February 28, 2026.
3. Chris Shuptrine. “6 AI Tool Onboarding and Provisioning Platforms for 2026.” Torii, June 8, 2026.
4. “Connect to the Microsoft Copilot Dashboard for Microsoft 365 customers.” Microsoft Learn, accessed October 16, 2026.
5. “AI Adoption Dashboard for Enterprise Teams.” Worklytics, accessed October 16, 2026.
6. “Worklytics pricing.” Worklytics, accessed October 16, 2026.
7. “Know and Grow the ROI of Your AI.” Workhelix, accessed October 16, 2026.
8. “Take control of every app, license, and AI tool.” Torii, accessed October 16, 2026.
9. “Torii pricing.” Torii, accessed October 16, 2026.
10. “Platform overview: one control plane for every AI agent, tool, and skill.” Willow, accessed October 16, 2026.
11. “Willow for IT leaders.” Willow, accessed October 16, 2026.
12. “Willow pricing.” Willow, accessed October 16, 2026.
13. “Section HQ: AI Adoption & Enablement Platform for Enterprise.” Section, accessed October 16, 2026.
14. “Enterprise AI Training & Adoption Platform.” Section, accessed October 16, 2026.
15. “Section pricing.” Section, accessed October 16, 2026.
16. “Momentum: build real AI fluency, one day at a time.” AI Champions, accessed October 16, 2026.
17. “The Last Mile of AI is Human.” AI Champions, accessed October 16, 2026.
18. “AI Activation Hub powered by AI Drive.” Nexthink, accessed October 16, 2026.
19. “AI Adoption Analytics: Track Usage and Measure ROI.” WalkMe, accessed October 16, 2026.
20. “The system for AI enablement teams.” Nolli, accessed October 16, 2026.
21. “Trust and governance.” Nolli, accessed October 16, 2026.

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