Free · Vendor-neutral
Implement AI at work, without the hype.
Free, vendor-neutral playbooks, policies, and use-case guides for the person actually tasked with rolling out AI. No tool marketing. No "10x your everything." Just what works, step by step.
10 minutes. Get a scored snapshot of where your company stands and what to do first, or get one implementation brief per week.
113+ guides, playbooks & templates, updated monthly.
Most AI content is written to sell you a tool. AI Work+ is written to help you make a decision. It's a free library for managers, operations leads, and executives at small and mid-sized companies who've been handed the job of "figuring out AI", covering how to pick use-cases, run pilots, measure ROI, write policy, and train teams. Every guide is vendor-neutral, specific enough to act on, and free to read without an email address. Published and maintained by Webisoft, a software engineering firm that builds and implements AI systems for companies like yours.
Everything you need to go from "we should use AI" to "we do."
Seven sections. Start anywhere, every guide stands on its own.
Start with a playbook
The deep guides that earn their keep, work through one end to end.
AI Acceptable Use Policy: Guide + Free Template
An AI acceptable-use policy needs to answer four questions: which tools are approved, what data may and may not go into them, when AI use must be disclosed, and who reviews outputs and exceptions. Keep it to 2-3 pages, default to 'channel, don't ban,' and name one owner. A blanket ban just pushes AI use onto personal devices where you can't see it. This guide includes a complete template you can adapt in an afternoon.
Read the playbook →AI Adoption Roadmap: A 6-Phase Plan for Companies
Adopt AI in six phases: assess readiness, select 2-3 high-value use-cases, run a 30-60 day pilot with baseline metrics, measure against those baselines, scale what works one team at a time, and put lightweight governance in place before scale, not after. Most failed rollouts skip the baseline or pilot everything at once. Budget 3-6 months from assessment to first scaled use-case.
Read the playbook →Measuring AI ROI: Metrics, Formula, Worked Example
AI ROI = (value created − total cost) ÷ total cost, where value is measured against a pre-AI baseline and cost includes licenses, training time, and review time, not just software. Track leading indicators (adoption, output acceptance rate) weekly and lagging indicators (hours saved, cycle time, revenue impact) monthly. Most 'AI ROI' claims fail because there was no baseline, review time wasn't counted, or saved hours were valued at full salary without being redeployed.
Read the playbook →Written for the person who got handed the AI mandate.
You might be an operations lead told to "find efficiencies with AI." A department manager whose team is already pasting things into ChatGPT with no rules. An executive who needs a straight answer on what AI is worth before approving budget. Or the unofficial "AI person" who got the job because you seemed the most interested.
Whoever you are, you have the same three problems: too much hype, not enough specifics, and everyone giving you advice is selling something. AI Work+ exists to be the exception. The guides here assume no technical background, no data science team, and no enterprise budget.
- Specific enough to act on. Numbered steps, tables you can copy, and templates you can adapt, not principles that dissolve on contact with Monday morning.
- Vendor-neutral by policy. We name ChatGPT, Claude, Copilot, and Gemini as examples and compare them honestly. We sell none of them.
- Free means free. The core library requires no email. We gate a few deep templates, and we're upfront about why: it's how we find companies that want implementation help.