Field Guide · Vol. 01 · 2026
For owners & operators

The Small Business
AI Readiness Checklist.

Ten practical steps, grouped in three phases, to get your business ready for AI — before you spend a dollar on tools, licenses, or consultants. Work through it in an afternoon, print it for your team, and come back when you're ready to build.

Phase 01
See the work.
Map where AI fits before you touch a tool.
Phase 02
Prepare the ground.
Clean data, clear policy, right tools.
Phase 03
Build & prove it.
Skill up the team, pilot, measure, expand.
10
Steps in three phases
~90min
To complete
0$
Cost to start
Worksheet — tick as you go

Ten things to do before you deploy AI.

02 / 03
01

Phase One · FoundationSee the work.

4 items · ~25 min
01

Map the work your team actually does.

To build the picture:

  • List every recurring task by role — intake, drafting, reporting, follow-ups.
  • Note frequency and estimated hours per week for each.
  • Flag the ones that repeat daily and require low judgment.
02

Pick three workflows worth automating.

To prioritize what's worth it:

  • Rank by hours spent × repetition × low judgment required.
  • Start with three — not thirty. Ruthless focus beats ambition.
  • Common wins: document drafting, client intake, status updates.
03

Baseline your numbers first.

To make ROI measurable:

  • Capture today's hours per task, response times, cost per client.
  • Save one timestamped snapshot you can diff against in 90 days.
  • Without a baseline, any "it feels faster" claim is just vibes.
04

Discuss concerns openly with your team.

To address change head-on:

  • Ask where people feel threatened, curious, or skeptical.
  • Be explicit: AI augments this work; we're not cutting headcount to do it.
  • Invite one "AI skeptic" into the pilot — they make the best stress-testers.

Be an agent for change and encourage your team to embrace new technologies rather than fear them — most resistance is concern about job security, not the tech.

— Small business operator, Agenify field interviews
02

Phase Two · PreparePrepare the ground.

3 items · ~35 min
05

Get your data out of people's heads.

To give AI real context:

  • Centralize SOPs, templates, FAQs, and client info in one reachable place.
  • Kill the "only Sarah knows" single points of failure.
  • AI is only as useful as the context you can feed it.
06

Clean up your customer & contact records.

To stop garbage-in, garbage-out:

  • Deduplicate your CRM; standardize fields; archive the dead.
  • Fix the 10 fields your team actually queries — not all 80.
  • This is the single biggest readiness lever for most SMBs.
07

Write a one-page AI use policy.

To use AI responsibly:

  • List approved tools; specify what data is off-limits (PII, client confidential).
  • Require human review before any AI output reaches a client.
  • Keep it one page — longer policies don't get read.
Worksheet — continued
03 / 03
03

Phase Three · Build & growBuild & prove it.

3 items · ~30 min
08

Audit the tools you already pay for.

To avoid buying what you already own:

  • Your CRM, email, docs, and accounting stack likely ship AI features you haven't switched on.
  • Compare built-in capability vs. a new subscription before you buy.
  • Create a one-line "what we need from AI" spec to filter demos.
09

Train your team. Name an internal owner.

To build a culture of AI literacy:

  • Run one 2-hour prompting session using your real documents — not toy examples.
  • Name one internal owner (not a committee) for roadmap, questions, and momentum.
  • Subscribe the owner to one AI newsletter and one industry report per quarter.
10

Run one small pilot. Measure it. Decide.

To turn readiness into results:

  • Pick the highest-ROI workflow from step 02. Ship it in 30 days.
  • Compare hard numbers against your baseline (step 03).
  • Expand what works; kill what doesn't. Repeat quarterly.

Firms should be proactive in implementing AI and other technologies into daily activities, and not take a wait-and-see approach. Those who fall behind will struggle to catch up.

— Professional services leader, industry survey
Where Agenify comes in
Steps 01–04
AI Readiness Assessment
We audit your workflows, score them by ROI & complexity, and deliver a prioritized roadmap.
Steps 05–08
AI Workflow Implementation
Custom agents for intake, drafting, billing, and status comms — delivered in 4–8 weeks, fixed-fee.
Steps 09–10
Training & Ongoing Support
Team workshops, custom playbooks, and retainers that keep the momentum after launch.
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