Workflow assessment
Walk through a process with the people who do it. Map the handoffs, repeated steps, exceptions, and information involved. Compare AI with simpler alternatives.
AI advisory · Practical, not theoretical
Less AI talk. A better way to get the work done.
Your team knows where the work gets stuck. I help you decide whether AI belongs there, put a workable solution in place, and teach people to use it responsibly. Plain English, a written scope, and results we can actually check.
Start with a description of the process. Do not email confidential records or passwords.
Advice is useful when it survives the handover.
Five services, scoped around your team and the work you need done. You do not have to buy them all.
Implementation & integration
Build a limited pilot using approved tools and data. Connect it to the existing workflow, test the awkward cases, and keep a manual fallback. Expand only after review.
Staff training
Teach people using tasks they recognize, not a tour of every AI feature. Cover useful instructions, checking answers, knowing when to stop, and what must never be pasted into a tool.
Privacy & policy guidance
Define approved tools, permitted data, human review, access, retention, and escalation. Review vendor settings and terms with the people responsible for your data.
Ongoing advisory
Review how the workflow performs, support staff adoption, and reassess tools as they change. Decide what to improve, what to retire, and whether another process is worth testing.
Start small. Keep the decision yours.
Assessment, implementation, and ongoing support have separate scopes. Fees, software costs, deliverables, responsibilities, and acceptance criteria are agreed before work begins.
One workflow. A baseline. A measured decision.
You should know what success means before you pay to build it.
Understand the work
Identify the process owner, current tools, volume, time per task, errors, and review requirements. Agree the scope and data boundaries before access.
Choose a sensible first test
Rank opportunities by value, effort, and risk. Start with a reversible, low-risk task. If ordinary automation is the better answer, recommend that instead.
Pilot with safeguards
Use synthetic or redacted examples first. Test accuracy, exceptions, access restrictions, and human review. Do not connect live systems until authorized.
Measure the real result
Compare time and quality against the baseline, including review, corrections, maintenance, and software fees. Stop or revise if the net benefit is not there.
Train, document, and hand over
Name an owner, document the workflow and fallback, train staff, and agree how it will be monitored. You keep the operating instructions.
What might be worth testing?
Illustrative opportunities, not client case studies or promised outcomes. Each needs a suitability and data review.
Businesses & nonprofits
Draft routine replies from approved material, organize internal knowledge, or prepare first-pass administrative summaries. Staff check facts and approve anything sent.
Municipalities
Draft public-information FAQs from published policies or help staff find approved procedures. Keep source references, accessibility, records obligations, and authorized review in the workflow.
Police departments
Start with non-sensitive administration, public-information drafts, and approved training materials. This offer is not automated policing, risk scoring, or a substitute for investigative judgment.
Sensitive data is not a starting point. Do not put criminal justice information, case files, health records, personnel records, or other confidential data into an unapproved AI tool. Regulated use requires organizational authorization, vendor review, and any applicable legal and security approvals, including CJIS or HIPAA requirements where relevant.
Clear about the limits.
Can you promise a 40% time saving?
No. A percentage is a hypothesis until it is measured in your workflow. The assessment defines what to test; the pilot checks the net benefit, including human review and corrections.
Do we need to replace our systems?
Not by default. The first question is how an improvement fits the tools and permissions you already have. New subscriptions or integrations need your approval and belong in the cost estimate.
What experience is behind the advice?
My background is 30+ years in IT, including multi-site healthcare and close work with New Jersey police departments, private businesses, and municipalities. That is systems and operational experience, not a claim of AI deployments for those organizations. I do not currently publish AI client case studies or quantified AI results.
Can AI make decisions or send things on its own?
The default is a draft or recommendation for an authorized person to review. Permissions, approval steps, and any external actions must be explicitly scoped. High-impact decisions about people are not part of this offer.
What does it cost, and how do we start?
Email your organization, one process you want to improve, the tools involved, and the desired outcome. I will ask follow-up questions and propose a written scope and fee. Assessment, implementation, software, and continuing support are identified separately.
Bring one process that takes too much effort.
You do not need an AI strategy deck to begin. A clear description of the work is enough for the first email.