Full view · Prepared for Kathy Alimenti · April 2026

Operations, solidified. Systems, aligned.

This document confirms the scope, operating model, and investment for the Interim CTO engagement at Top Notch Products, as discussed on April 20, 2026.

Recommendation: Full-Time cadence. The work breaks into three phases: discovery, build and embed, handoff and continue.

The summary view is the short version. This view is the long one, for the decision-week review.

Paper ledger, aligned
01 The situation

The team is solid. The systems underneath them are not.

Work that should be automatic is manual. Knowledge that should be written down lives in a few people's heads. The office move is close, and the business is running at full load while it prepares.

The goal: make the day easier on Kathy and the team. Get more done in less time. Build a foundation that holds when someone is out.

02 The work

Document the workflows. Automate what can be automated. Train the team on AI, and set up where and how they use it. Build human-in-the-loop checkpoints where automation cannot fit. Cut waste in money, time, and tools, so the team spends more time on what moves the needle.

Goals

  • Document workflows across Operations, Accounting, and Sales.
  • Automate high-repetition, low-judgment tasks with your sign-off before anything runs.
  • Train the team on AI tools in their actual context, not generic demos.
  • Build SOPs in plain markdown so they live in your accounts, not mine.
  • Give Janine more time for the higher-judgment work that only she can do.
  • Build around Blue Link and the existing stack. If something fundamental needs to change, we scope it together.
  • Evaluate and consolidate overlapping vendor tools to reduce monthly spend.

Non-Goals (this engagement)

  • Running the office move. That is observation-only; foundation work ships alongside it.
  • Managing warehouse cost reduction. That is a 12-month strategic project on its own timeline.
  • QuickBooks migration unless you decide to proceed; that extends the engagement.
03 Where it starts

Department by department.

Starting with Pete and Operations. The work runs the same way each time. I sit with the team. I capture how things actually happen today. I document the workflows in a form that humans and AI can both use. I find quick wins. I scope larger automations and bring them to you for approval before they run. Then we move to the next department.

Quick wins ship as we go. Larger automations queue for your review.

The order is a starting point, not a contract. If you want a different order, we run it that way.

01 Operations · Pete
02 Accounting · Janine
03 Sales · Jen
04 Management
04 AI enablement

Train the team. Set the guardrails.

Train employees on using AI. Set up access where it makes sense and not where it does not. Build guardrails and harnesses so the AI runs on real Top Notch context, not generic outputs.

Where automation cannot fit, build human-in-the-loop checkpoints so a person reviews before anything goes out. The point is not to get the AI out of the way. The point is to put the right person at the right checkpoint, with the right context in front of them, and only then let the work move.

Pete signs off on operations changes. Janine signs off on accounting work. Jen signs off on what goes to a customer. The AI gets faster at the drafting; the people stay in charge of the call.

05 Engagement structure

Phases, rhythm, and money mechanics.

Three cadences. All deliver the same kind of work. The choice is how concentrated the time is. That sets the timeline and the per-day rate.

The opening months are the starting investment. After that we keep going as long as it is valuable. There is no forced end date.

Engagement timeline Discovery months 1 to 2, Build and handoff months 3 to 6, Ongoing from month 7 onward with a fading tail indicating continuation. Phase 01 Discovery Months 1–2 · 4 days/wk Phase 02 Build & handoff Months 3–6 · 4 days/wk Continues Ongoing Month 7+ · cadence TBD month 1 month 3 month 7 no forced end date

Phases and rhythm

  • Discovery (opening weeks). Time on-site with the team, watching the work, capturing the systems and the steps. Heavy bias toward observation in the first two weeks. Shipping starts inside the first month.
  • Build and embed. Approved automations roll out across departments. Workflows get written down. The team gets trained on the tools.
  • Handoff and continue. Named owners on every automation. Documentation lives in your accounts. The relationship continues at whatever cadence makes sense.

Retainer mechanics

  • Billing. Monthly invoice. Weekly 30 to 60 minute check-in with you to start, stepping down to bi-weekly once rhythm is set.
  • Rollover. Up to 25% of the month's hours carry forward; expire at end of the following month.
  • Soft overage. Up to 15% over the monthly target absorbed into the retainer. No surprise bills.
  • Hard overage. Beyond 15%, billed at $225/hr with a written Monday heads-up the week it is forecast to trigger.
  • Team-member hours. All-inclusive in the retainer. If my team assists on delivery, those hours do not bill separately.

Travel policy

  • Direct expenses at cost. Mileage, tolls, parking, hotel if overnight. Receipts on the invoice. No markup.
  • Transit time at 50% of standard hourly. Drive, fly, train time bills at half rate.
  • On-site day at standard day rate.
  • Does not apply to: normal Boston-area commute during the pre-move window.

AI expenses

  • Top Notch's AI accounts (Claude team, Gemini, the workspace we pick together) stay on your bill. I use them for day-to-day work on your behalf.
  • My own accounts stay on my bill, absorbed into the retainer.
  • If file volume or processing scope escalates materially, I will propose moving heavy workloads onto your team plan so batch work runs on your account. Written notice before anything changes.
06 ROI

Where the value tends to come from.

Five categories of value the engagement tends to produce. Bar widths are directional, not committed totals.

Categories of value Five categories of value the engagement tends to produce: time savings, software spend reduction, vendor leverage, knowledge protection, and scaling capacity. Bar widths are directional, not committed totals. Time savings hours back on the team's day Software spend reduction eliminating overlap, retiring underused tools Vendor leverage better contracts, integrations, accountability Knowledge protection institutional memory captured in SOPs Scaling capacity absorb more volume without more headcount Where the value tends to come from, not committed totals.
  • Time savings. Hours back on the team's day, across operations, accounting, and sales.
  • Software spend reduction. Eliminating overlap, retiring underused tools, consolidating where it makes sense.
  • Vendor leverage. Better contracts, real integration work, accountability on the calls that belong on a CTO's desk.
  • Knowledge protection. Institutional memory captured so the business does not hold its breath when one person is out.
  • Scaling capacity. The team can absorb more volume without more headcount.

These are targets I commit to pursue, not outcomes I can guarantee. The process promises (weekly recap, monthly check-in, 30-day exit) are named in the structure section above.

07 About Michael & ExecuServices

The shape of business I have run before.

At SwervePoint I took over an ERP migration already in progress. I had not used either system before: not the one we were moving out of, not the one we were moving into. I pulled reports directly from the database, learned the destination ERP well enough to build my own custom imports and fields, and managed the system myself after go-live. The consultants told Kevin, the owner: "We have never had a client pick up a system and how to customize and administer it as quickly as he did." From that point forward, when other employees had questions, the consultants directed them to me before escalating to Acumatica. That is the same shape of work as understanding Blue Link, building around it, and deciding together if anything ever needs to change at the infrastructure level.

Over four years as Director of IT there: 16 servers, four ERP implementations running side by side, 600+ B2B ecommerce programs for Fortune 500 clients, a 65% cost reduction on the Rackspace-to-AWS migration I designed, and 30+ Fortune 100 security reviews per year. The in-house asset management program I built from scratch saved about $50,000 per year on its own.

Before SwervePoint, seven years at ExecuServices leading 100+ cloud migrations and ecommerce platform moves across Magento, osCommerce, and Drupal Commerce. Twenty years of the same kind of work this engagement asks for, at different scales.

Most weeks I am rebuilding something I already use. The proposal site you are reading is a recent example: the hero video was generated with Gemini and Veo, the site itself is a custom Astro build deployed to a production server. I keep current with the AI tooling because it changes monthly, and the team I bring in alongside me uses what is actually working today.

I live in Danvers, ten minutes from the new office. I run ExecuServices from Beverly.

SwervePoint parallel SwervePoint business model maps structurally to Top Notch across four dimensions: distribution, inventory, operations, and volume. SwervePoint Prior: Director of IT Top Notch Ahead: same shape of work Multi-line wholesale distribution Multi-line wholesale distribution Inventory-driven fulfillment Inventory-driven fulfillment Warehouse at center of ops Warehouse at center of ops B2B order volume · 50+ programs B2B order volume · wholesale scale Same pains · same leverage points · same playbook

Systems I have built

I do not just advise. I ship. The same patterns power the work I will run at Top Notch.

Three-layer orchestration Directives expressed as markdown SOPs pass into AI orchestration which drives deterministic Python execution for auditable, debuggable automations. Layer 01 Directives Human-readable SOPs · markdown · version-controlled Layer 02 AI orchestration Interprets directives · routes work · handles ambiguity Layer 03 Deterministic execution Python · testable · repeatable · audit trail
  1. Emergency Restoration Inc, dynamic proposal and quote generator. A live three-layer system that turns an input form into a branded, customer-specific proposal PDF. The directives hold business rules in plain markdown. The AI handles language and layout. The execution layer guarantees the same input produces the same output every time. For Top Notch: the direct precedent for the trade-show quote-sheet workflow.
  2. IFT (International Fishing Tournament) multi-agent system. Four specialized AI agents (CEO, Designer, Engineer, Marketing) coordinated across a live business with shared knowledge, defined personas, and scoped tools. For Top Notch: the pattern for delegating approved work across functions once the workflows are in writing.
  3. Plesk-to-Enhance migration tooling. Automated server migrations with pre-flight validation, backup and restore, DNS cutover, SSL, and rollback. The lessons file documents 30+ real production edge cases and the automated fix for each. For Top Notch: operational rigor any high-stakes automation needs.
  4. Chronically Exposed multi-site platform. A health information website with 50+ published articles plus a companion symptom-tracking app, connected by shared sign-on and a single backend. For Top Notch: proof I can run a CMS, a database-backed app, and shared authentication at the same time.
  5. Blog Posting Tool, three-layer content pipeline. A modular engine running across multiple sites. Vendor-neutral by design: Claude, Gemini, and Perplexity APIs orchestrated through directives and Python execution. For Top Notch: the core of the AI workspace I will stand up for your team.
  6. phish-forensics, enterprise email security. Forensic analysis of spoofed emails, DMARC/SPF/DKIM audit and rollout, automated ingestion of DMARC reports, and a dashboard for compliance monitoring. For Top Notch: useful for your Office 365 and any vendor-invoice-by-email workflow.

External validation

Adventures in Legal Tech podcast, March 2025. Featured expert on the episode "Site Unseen: How to Build & Maintain a Quality Law Firm Website." (listen)

NECC alumni feature, Fall 2023. Profiled first of four alumni in "NECC Alumni Embrace AI: A Look at the Frontlines of a Booming Industry" (alumNECC magazine). Described as "a natural entrepreneur in the AI innovation realm." (read the feature)

Local. Ten minutes from your new Danvers office.

08 How to engage

Three ways to shape the opening months.

All three deliver the same kind of work. The choice is how concentrated the time is. That sets the timeline and the per-day rate. The recommendation is Full-Time.

Halftime

Monthly retainer $12,500/mo
Cadence
2 days/wk
Days/mo
10
Per-day
$1,250
Estimated runway
Roughly 2 years to fully optimize
Best fit when
Spreading the cost, steady tempo.

Part-Time

Monthly retainer $6,000 to $12,000/mo
Cadence
~1 day/wk
Days/mo
4 to 8
Per-day
$1,500
Estimated runway
Roughly 2 years to fully optimize
Best fit when
Advisory cadence, lowest monthly.

Spreading the work out costs less per month. The runway estimate stretches because every gap between sessions adds re-orienting overhead. Full-Time keeps context warm week to week and gets the most done fastest.

Default plan for Full-Time: three months full time, then three months halftime, going month-to-month so we calibrate as we go. Prefer to lock in six months full time? That option is there.

Halftime and Part-Time each carry a roughly two-year estimated runway to fully optimize. That is a worst-case estimate. We push as much as possible in the shortest amount of time and continue as long as it is valuable. Either side can step the cadence up, step it down, or wind down with 30 days notice.

There is no forced end date on any tier.

09 Three things I want to be explicit about going in

Named risks. Named mitigations.

01

Cadence drift.

Gaps between sessions add re-orienting overhead and slow the review cycle. Every gap means one more round of context recovery before meaningful work resumes. Mitigation: weekly written recap to Kathy, monthly explicit re-commit on whether the cadence still fits. If it has drifted, we correct it in writing before the next billing cycle.

02

Tribal knowledge takes time to capture.

Janine's 25 years of know-how cannot be transferred in a week. The goal is to give her more time for the higher-judgment work that only she can do, not to compress or shortcut the capture process. Mitigation: I sit with her, capture her process through dictation and quick notes, and we shape it into an SOP she owns. Short verification cycles confirm accuracy before anything is locked down. Nothing in her domain gets published without her sign-off.

03

We work around Blue Link, not against it.

We work around Blue Link where possible and build with it. If something needs to change fundamentally with the underlying infrastructure, that is a bigger conversation. We will scope it together, identify the resources needed, and I will work through the implementation with the team. Any tool that costs more than the current equivalent spend requires Kathy's written sign-off before I act on it. Docuware gets evaluated for rescue-vs.-replace; either path comes to you as a written recommendation first.

10 Close

To proceed: sign and confirm the start date.

· Next steps

One decision. One date. One call.

  1. Pick the cadence by Friday, May 8.
  2. Schedule the kickoff: Tuesday May 5 at 10 AM or Thursday May 7 at 2 PM. 45 minutes.
  3. Start date hold: blocked through Monday, May 11.

Once a cadence is confirmed, the following week is kickoff:

  • Week 1 on-site with Pete and Janine, 1:1 with Kathy, baseline capture begins.
  • Week 2. First workflows in writing, AI accounts provisioned, scoping the first quick-win automation.
  • Week 4. Phase 1 readout.
· Appendix

What is not in this document, by design.

  • Legal terms. They live in the SOW you sign after we align on a cadence.
  • Tool-by-tool cost breakdown. Handled inside the engagement; I do not mark up tool subscriptions.

Credibility references available on request