AI Implementation Services
AI implementation services bridge the gap between knowing AI matters and having it working in your firm. Most AI projects fail because nobody maps the workflow, trains the team, or measures the outcome. I handle all of it: assessment to live system in 4-6 weeks.
The problem
Why Most AI Implementations Fail
Two patterns repeat across every firm that tried AI and gave up. The problem is never the technology.
Bought software nobody uses
You purchased an AI tool, maybe even paid for annual licenses. Nobody configured it for your workflows. It sits unused. Six months in, the vendor sends a renewal invoice for software that never produced a result.
Consultant delivered slides, not systems
A consulting firm ran a discovery phase, produced a strategy deck with recommendations, and left. Your team looked at the slides, didn't know where to start, and nothing changed. You paid for a plan that nobody executed.
No workflow mapping before building
Someone jumped straight to tools without understanding how work actually moves through your firm. The AI was fast at the wrong task. Garbage in, garbage out, but automated.
Team resistance killed adoption
The system went live with no training and no documentation. Your team saw it as a threat, not a tool. Usage dropped to zero within a month. The implementation technically worked but practically failed.
What changes
What End-to-End Implementation Looks Like
Assessment, build, training, and measurement. One workflow automated from start to finish in 4-6 weeks. Your team is trained. The system is yours to operate.
Workflow mapping and prioritization
Every workflow in your firm is scored by time saved, error rate, and feasibility. The highest-ROI workflow is selected. Scope is defined with clear before-and-after metrics.
Build the AI workflow
Agents, automations, and integrations built on your existing tools. Slack, Notion, Google Workspace, Xero, whatever you use. Hands on keyboard, not on slides.
Team training and documentation
Your team learns the new system through live sessions, video walkthroughs, and written docs. They understand what the AI does, when to override it, and how to flag problems.
Measurement and handoff
Time saved, throughput, error reduction, and ROI. Numbers on a dashboard. The system is handed off with a list of what to automate next.
How we'll work
One workflow. Four weeks. Measurable results.
Each sprint tackles one high-impact workflow from assessment to production. Then we move on to the next problem.
Find the highest-impact opportunity
I sit with your executives and map the current state of your operations. Every workflow gets scored for automation potential and ROI. We pick the one that moves the needle most.
Design and build
We figure out what the automation looks like. Sometimes it's a Claude Cowork plugin. Sometimes it's custom software. I build it on your existing tools. No new platforms to buy.
Go live and measure
The system goes into production. I set up tracking for hours saved, throughput, and error rates. Real numbers, not projections.
Train your team
Your people learn to use the new workflow. Documentation, walkthroughs, hands-on sessions. Adoption is where most AI projects die, so this part gets the same attention as the build.
Know which workflow to fix first?
Book a 30-minute call. We'll map your operations and find the highest-ROI automation.
Example
What This Looks Like in Practice
A 35-person recruiting firm was spending most of its sourcing team's time on initial candidate screening. Resumes arrived by email, got manually reviewed, then entered into their ATS. I mapped the workflow, built an AI screening agent, and trained the team in 5 weeks.
12 → 2 hrs/day
Screening time per recruiter
AI agent reads incoming resumes, scores against job requirements, and routes qualified candidates to the right recruiter. Manual screening dropped from 12 hours to 2 hours per day across the team.
3× more candidates
Pipeline throughput
With screening automated, the sourcing team processed 3 times more candidates per week without adding headcount. More candidates reviewed meant more placements made.
5 weeks
Assessment to live system
Week 1 mapped the screening workflow. Weeks 2-4 built the agent on their existing email and ATS. Week 5 trained the team and set up the measurement dashboard.
FAQ
Common questions about this service.