AI-first company: evidence on AI adoption

company.ai-firstPublished by ai-first.companyOfficial publisherv0.3.6Updated Oct 27, 2026

Rated evidence on AI adoption: practices, company cases, claim checks and readiness assessments.

VerifiedStreamable HTTPWeb executableKnowledge & MemoryBusiness & Commerce

Overview

AI-generated overview

Gives an assistant a browsable map of rated evidence on AI adoption: practices, company cases, checked statistics, studies and readiness assessments.

What you can do
  • Browse the evidence map and its menus by theme, work type, industry, company size, stage or priority
  • Fetch full records for practices, cases, studies, figures, claim checks and assessments, with sources and related ids
  • Check widely repeated AI statistics and vendor or consultant claims against documented claim checks
  • Find practices and real company cases filtered by company size, task, outcome, industry or theme
  • List published readiness, literacy and task-fit assessments, and draft a one-page board brief from rated evidence
When to use it
Useful when someone is weighing AI adoption in a company and wants sourced, rated evidence rather than generic advice: where to start, who has done it and how it turned out, whether a quoted statistic or vendor claim holds up, or how to brief a board.
Requirements
Remote streamable HTTP endpoint; no packages, environment variables or headers declared, and no authentication declared.
Before you install
The server's own instructions tell assistants to state figures, ratings and verdicts only from its full records and to say when nothing fits rather than fill gaps from memory; treat its evidence as one curated source and check the primary links it returns. No credentials or write actions are declared.

Installation

In SourceWeft

  1. Open AI-first company: evidence on AI adoption in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/company.ai-first%2Fevidence/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "ai-first-company-evidence-on-ai-adoption": {
      "type": "http",
      "url": "https://mcp.ai-first.company/mcp"
    }
  }
}

Tools

10

start

Start here: the map of the evidence

Start here for any question about adopting AI in a company: the map of the ai-first.company evidence. Returns the company cases by the kind of work AI was used for (customer service, legal work, office assistant and others), the six themes (with counts of practices, cases and studies), the claim checks of widely repeated AI statistics, the groups of other figures, the company cases by outcome, the assessments by kind, and what each filter value and rating means. Then open the part that fits and fetch records with get_evidence.

Takes no parameters.

open

Open one part of the evidence map

Open one part of the evidence map: a list (practices, cases, studies, figures, claim-checks, assessments) with filters such as theme, outcome, industry, company size, stage, priority, figure group (line) or assessment kind. Returns every matching row in one line with its id, or, when there are more than 25, a menu splitting them by the next filter, with counts. Use the arguments the menus show. Then fetch the rows you pick with get_evidence.

Parameterskindlinelistrequiredsizetaskstagethemeoutcomeindustrypriorityemployeesfree_only

get_evidence

Get full evidence records by id

Get the full records for ids from the menus and lists (such as "case:klarna-ai-customer-service" or "claim-check:mit-95-percent-of-ai-pilots-fail"): figures, ratings, verdicts, caveats, primary sources, the ai-first.company link, and the ids of related studies, cases and practices to follow. Up to 20 ids per call. Quote and cite only from what this returns.

Parametersidsrequired

check_ai_figure

Check an AI statistic before quoting it

Before quoting an AI statistic (e.g. '95% of AI pilots fail', 'only 13% of companies are ready for AI'), check where it comes from, who was asked and what it covers. Returns every claim check of a widely repeated statistic and the groups of other figures; fetch the matching claim check, or open the group the figure belongs to. Use it for figures from surveys, reports and the press. For a claim a vendor makes about its own product, use check_vendor_claim.

Takes no parameters.

check_vendor_claim

Check a vendor’s AI claim

Check a claim made by an AI vendor or consultant, such as '30% productivity gain', 'cuts support costs by 40%' or 'our agents replace 700 staff'. Returns the questions to ask the vendor, the claim checks, the groups of figures and the company cases by the kind of work AI was used for, so you can find the same result and companies that tried the same kind of tool. Use it whenever someone selling or proposing AI quotes a result. For a statistic from the press or a report, use check_ai_figure.

Takes no parameters.

review_ai_transformation_plan

Review an AI plan or business case

Review an AI transformation proposal, business case or rollout memo, for example before it goes to a board. Returns the do-first practices for the company’s size as a checklist, each with its evidence rating and wording that may show it, and how to find similar cases. You read the plan and decide for each practice whether the plan commits to it, rules it out or leaves it out. Pass the size and industry; the plan itself stays with you. For one figure in the plan, use check_ai_figure.

Parameterssizeindustryemployees

find_practices

Find rated practices for adopting AI

List practices for adopting AI that fit a company's size, rated by strength of evidence. Use it for 'Where should we start with AI?' or 'What should a 120-person manufacturer do first?'. Pass the number of employees or a size band, and optionally the theme, stage or priority. Returns the practices in one line each, or a menu by theme when there are many; fetch the ones you use with get_evidence for their studies, cases and links.

Parameterssizestagethemepriorityemployees

find_company_cases

Find company cases of AI use

List real companies that used AI and how it turned out: measured result, company-reported result, went wrong, or partly walked back. Use it for 'Who has done this?' or 'What went wrong for others?'. Filter by the kind of work AI was used for (task), outcome, theme, industry or company size; returns the cases in one line each, or a menu with counts when there are many. Fetch the ones you use with get_evidence for the story, who produced the figures and the public sources.

Parameterssizetaskthemeoutcomeindustryemployees

find_readiness_assessment

Find an AI readiness or literacy assessment

List published questionnaires, tests and task maps to assess AI readiness, AI literacy, staff attitudes or which tasks suit AI, best tested first, optionally by kind or free to use. Fetch the ones that fit with get_evidence for how well each has been tested, who answers it, its length, licence and cost. For advice on what to do, use find_practices.

Parameterskindfree_only

board_brief

Prepare a board brief on AI adoption

Prepare a one-page board brief on a question about AI adoption, from rated evidence only. Returns the company cases by the kind of work AI was used for, the themes (with practice counts for the company’s size), the claim checks and figure groups, and how to write the brief: open the cases for the work in question and one to three themes, fetch eight to twelve records and write from them. Use it when someone needs a summary for a board, an owner or an investment committee. To review a written plan, use review_ai_transformation_plan.

Parameterssizeindustryemployees

Version history

1
  1. v0.3.6LatestOct 25, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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