AI Transformation Consulting

AI Success Plan

Where RayAccess is losing time today, what we recommend building, and the order to build it in.

RayAccessPrepared for Sergey Kucher & William Brauer
NextworksNextworks Team · [email protected]
October 2026Finalized

Executive Summary & Methodology

What we looked at, how we assessed it, and the headline takeaways
Executive summary

RayAccess as an organization generally has well-defined processes & well-organized data. The information RayAccess needs already exists in Workforce, Jobber, QuickBooks and HubSpot. People move it between those systems by hand, and that is where most of the automatable time each week goes.

We identified 52+ staff hours per month, directly recoverable across the team, among 9 AI opportunity areas across:

The goal for RayAccess is to create breathing room for its team. We want to give the team back enough time to do the work properly rather than just keep up, and take Sergey out of the middle of every estimate. The 9 areas are grouped into 4 waves so RayAccess can start where the return is clearest instead of committing to everything at once.

Methodology

We conducted 5 stakeholder interviews with leadership and staff, around 2 hours each, most of them screen-shared live:

Afterwards, we walked through every finding and number back past Sergey on a confirmation call. All ideas & proposals proved realistic & valuable, with a few slight adjustments.

Every number & figure in this AI Success Plan traces to a transcript. Where a number could not be confirmed it is marked unconfirmed rather than estimated.

Division Findings

The main pains found in each division or interview
Summary of main findings

Sergey is the bottleneck for estimations

Sergey owns all estimation sheets besides window cleaning & B2C and personally reviews all 6 to 8 B2B estimates a week. This bottleneck is a key limitation in sales & growth, as getting more estimates out there means more jobs.

The team is at capacity, exacerbated by repetitive tasks

  • Britnie spends 8.5 hours a week on invoicing, receipts and AP, and timesheet checking.
  • Zander loses 2 to 4 hours a week finding usable photos.
  • Ed manually re-maps square footage to window size when moving data from takeoff to the calculation sheet.

The data exists, but it moves by hand

  • Hours live in Workforce, jobs in Jobber, money in QuickBooks, customers in HubSpot.
  • Monthly KSIs, weekly KPIs, and marketing reports are currently assembled by hand.

The vast majority of these platforms have robust APIs. We just need to automatically pull from & move data around these systems.

Findings from individual areas

All findings from the 5 interviews we conducted with RayAccess staff across leadership, operations, marketing, estimation, and admin.

Leadership: Sergey
PainCost
Weekend timesheet and productivity analysis2-3 hrs/wk
Owns most B2B estimations, and reviews every B2B estimate2-4 hrs/wk of review
Monthly KSI compilation~5 hrs/month
Marketing: Zander
PainCost
Disorganized asset library and unreliable photo handoff from field crews2-4 hrs/wk searching
Weekly blog and social posts produced solo from scratch3-6 hrs per post
Pulling numbers from 8-10 sources for the dashboard~1.5 hrs/wk, + ~1 hr for sitemap
HR & Admin: Britnie
PainCost
Invoicing flow across Jobber, HubSpot, QuickBooks, Sheets (timesheets) and GatherUp4-5 hrs/wk
Timesheet double entry, cross-checking, & splitting hours2.5 hrs/wk
Receipts handled in several places (Drive, QuickBooks, Email, Jobber)2.5 hrs/wk
Estimation: Ed
PainCost
Square Takeoff exports drop square footage, so he rebuilds it for every elementEvery project
Writes scope descriptions, then cleans them in ChatGPT, then edits againEvery estimate
Can only do estimations for 1 B2B service after 6 months on the jobLimits how many estimates RayAccess can get out
Leadership: Will

Prioritized Opportunities

Top custom solutions plus the off-the-shelf AI tools worth adopting now
Existing solutions

Using existing tools and methodologies.

AI meeting notetaker
For Britnie

Britnie has a desktop, and the executive meetings happen in the conference room, so this has to be recorded from a phone.

"I don't have a laptop that I could take into the meetings, and we usually have the meetings in the conference room. So I don't have my computer to use it [...] as far as the meeting notes, I don't have a mobile, I just literally record on my iPhone and get the transcript from there."Britnie Escalante, HR & Admin

Today she records on her phone, pulls the transcript off manually, screenshots her handwritten notes, then rebuilds the summary in the format the team expects & updates the dashboard.

RayAccess already uses Fathom.

Claude & Claude Design
For Zander

Zander described rebuilding an AI-generated social graphic shape by shape in Illustrator, redrawing the border and placing the icon by hand, because the edits he needed weren't possible any other way.

Claude Design removes that step, with a configurable brand & asset pack. It generates editable graphic designs instead of uneditable AI-generated images.

Saved AI Projects
For anyone already using AI

Britnie already runs a ChatGPT project that formats her executive summary. Ed cleans up scope descriptions, Sergey screens resumes & pulls key terms out of RFPs, Britnie reads expiry dates off COIs.

One saved project per recurring task costs nothing & makes the AI use that's already happening consistent.

Custom automations

~52 hrs/mo recoverable across 9 areas, sequenced into 4 waves:

WaveStageAreas
1Quick WinsReceipts & AP, Invoicing, Statistical Reports, Timesheets
2Core BuildsAI Estimation Platform
3SupportingWeekly SEO Content, Collections, Compliance Document Tracking
4Long TermAI Control Tower

Every area is tagged with 1 of 4 build types:

Build typeWhat it means day to day
Headless automationRuns in the background on a trigger. Nobody opens a new tool.
Assistant (Claude skill)A person drives it, step by step. Replaces a blank page, not the person.
Dashboard & remindersA screen you check, plus tasks & alerts that come to you.
Custom applicationReal software with its own interface, built around your logic.
1
Receipts & AP
Headless automation · Wave 1 · saves ~3 hrs/wk
Headless automationSize S-MBritnie Escalante
"I don't want to say mindless work, but it's really important because, Lord forbid, I forget to enter a receipt. If I could just create a bill, specify what job it's for, and then maybe AI could just plug it into our expenses on Jobber. That'd be amazing."Britnie Escalante, HR & Admin

Form: Headless automation. Receipts still arrive by email, but to 1 address.

What breaks today
#StepWhoSoftware
1Receive the receipt or vendor billBritnieEmail, paper
2Rename and file itBritnieGoogle Drive (receipts & bills folder)
3Route the vendor bill for reviewWilliamEmail
4Create the bill; attach the invoice so Sergey can see what it's forBritnieQuickBooks
5Find the job and enter the expenseBritnieJobber
6Review & paySergeyQuickBooks
  • The same receipt gets handled in 3 places. That's ~1 to 1.5 hrs/wk.
  • Entering the job expense in Jobber is easily missed.
  • Reimbursements get tracked by Britnie typing [PAY] in front of the filename & Sergey deleting it by hand once he's paid. That becomes a status the system owns.
The new flow
#StepWho touches it
1Receipt or bill lands at a shared email alias, or gets uploadedPerson sends
2AI reads it & routes to 1 of 3 paths: already-paid receipt (file only), vendor bill (file + QuickBooks bill), employee reimbursement (file + flag for Zelle)Automatic
3Renamed & filed into the monthly Drive folder the bookkeeper reconciles fromAutomatic
4Vendor bill created in QuickBooks with the document attachedAutomatic
5Job suggested from vendor, date & schedule, expense posted for job costingAutomatic
6Notification email: done, or flagged for reviewAutomatic
7Weekly payment runSergey reviews & pays
What changes

Receipts just need to be sent once, no more double entries, Will doesn't need to approve in the middle of the process, and Jobber stops missing expenses.

Data & API access

QuickBooks Online, Google Drive, Jobber.

To confirm before build (by bookkeeper)
  • Can reimbursements be booked as QuickBooks bills with the employee as a vendor?
  • Should AI match receipts to card transactions & categorize them?
2
Invoicing
Headless automation · Wave 1 · saves ~3-4 hrs/wk
Headless automationSize MBritnie Escalante, William Brauer
"There's a lot of legwork that goes into making sure that we have the right information in the invoice. [...] I spend like the last 45 minutes to an hour on invoicing every day."Britnie Escalante, HR & Admin

Form: Headless automation. Fires when a job closes in Jobber. Britnie reviews a finished draft in QuickBooks instead of building one from scratch.

What breaks today
#StepWhoSoftware
1Review completed workBritnieJobber
2Match against the signed proposal; check for scope changesBritnieJobber, HubSpot
3Find the billing or invoicing note; for new clients, confirm the billing contactBritnieHubSpot
4Create the invoiceBritnieQuickBooks
5Log the invoice numberBritnieMaster timesheet (Sheets)
6Trigger the review requestBritnieGatherUp
7Upload to portals where requiredBritnieClient vendor portals
  • 4 systems read & cross-checked by hand on every invoice: Jobber, HubSpot, QuickBooks & the master timesheet. 45 to 60 min/day, 5 to 15 min per invoice.
  • Terms & sales-rep attribution and the invoice number get retyped every time.
The new flow
#StepWho touches it
1Job marked Closed in JobberAutomatic trigger
2Job matched to its HubSpot record; signed proposal checked against the Jobber description, scope differences flaggedBritnie resolves flags
3Draft invoice built in QuickBooks: billing contact, terms, sales rep, service date, description, site address, product categoryAutomatic
4Review & sendBritnie
5Invoice number written to the master timesheetAutomatic
6GatherUp review request fires on send, except on deposit invoicesAutomatic
7Client vendor portal uploadBritnie
What changes
  • Britnie reviews invoices rather than assembling each one across 4 tabs.
  • Terms & rep attribution come from the signed proposal instead of memory.
  • The master timesheet stays current without re-entry.
Data & API access

Jobber, HubSpot, QuickBooks Online, Google Sheets, GatherUp.

To confirm before build
  • The QuickBooks product & service category list.
  • How deposit invoices get flagged, so GatherUp correctly skips them.
3
Statistical Reports (KPI, KSI, Marketing)
Dashboard & reminders · Wave 1 · saves ~12 of the ~15 hrs/mo
Dashboard & remindersSize MSergey Kucher, Zander Cohn
"I actually never close this tab because otherwise I would just reopen it every week and it's easier to just press refresh. [...] This pretty much stays permanently as a minimized tab on my computer."Zander Cohn, Marketing (on the data sources behind the weekly dashboard)

Form: Dashboard & reminders. The numbers pull themselves on a schedule and land in one place, with history.

What breaks today
  • Monthly KSIs take Sergey ~5 hrs/month, plus weekly KPIs.
  • Zander's weekly dashboard & scoreboard pull from 8 to 10 sources: ~1.5 hrs/wk, plus ~1 hr on the sitemap.
The new flow
#StepWho touches it
1Data pulls on a schedule from every source with an API: QuickBooks, HubSpot, Jobber, Google Sheets, GA4, Search Console, Google Ads & the restAutomatic. Sources with no API still need manual entry
2Calculations run; this period compared against history & against targetAutomatic
3Saved B2B conversion view, no re-filteringAutomatic
4Anything off trend or off target gets flaggedHuman reviews the flags
5Marketing dashboard & company scoreboard populateZander reviews
6Sitemap regenerates on publishAutomatic
7Finished numbers read & acted onSergey interprets & decides
Why a build and not a prompt

Connectors may not exist out of the box in ChatGPT for most platforms. Also, a prompt still needs someone to run it.

What changes

The team is never behind on reports and data, and no more manual time goes into hunting down data that can be pulled instantly with an API.

Data & API access

Any source with an API (QuickBooks, HubSpot, Jobber, Google Sheets, GA4, Search Console, Semrush, PageSpeed Insights & Google Ads). LinkedIn Ads & SiteDocs stay manual.

4
Timesheet & Job Costing
Headless automation · Wave 1 · saves ~5 hrs/wk
Headless automationSize M for Option ASergey Kucher, Britnie Escalante
"I have to do it on the weekends, which kind of sucks [...] because I have to allocate this two hours on weekends [...] to calculate what's our productivity on jobs."Sergey Kucher, Owner
"If only we can use the time sheet, the master time sheet, I could just have one place to enter the data instead of having to do both [...] it's just like a double task."Britnie Escalante, HR & Admin

Form: Headless automation. Hours sync themselves between Workforce, the master timesheet & Jobber. Techs keep clocking in exactly as they do now.

What breaks today
#StepWhoSoftware
1Clock in / outField techsQuickBooks Workforce
2Pull hours per employee per dayBritnieQuickBooks Workforce
3Enter hours into the master timesheet; split multi-job days by estimated effortBritnieGoogle Sheets (master timesheet)
4Find each job and re-enter the same hoursBritnieJobber
5Chase and fix missed clock-insBritnie, SergeyWorkforce, Sheets
6Weekend productivity analysis: hours vs. work completed, by projectSergeySheets, Jobber
  • The same hours get entered twice, for every tech, every week. ~2.5 hrs/wk of Britnie's time, mostly cross-checking Workforce, Jobber, and the Sheet.
  • Days with multiple jobs get split with educated guesses.
  • Missed clock-ins hold up everything downstream.
  • Sergey spends 2-3 hrs of his weekend on the productivity analysis.
Two options
  • Option A, automate what exists. Daily sync of Workforce hours into the master timesheet & Jobber, splits calculated, anomalies flagged. Weekly analysis assembled before the weekend. Keeps all 3 platforms in sync.
  • Option B, consolidate first (recommended). Clock in & out in Jobber, push to Workforce for payroll & to Sheets. Workforce still handles overtime & custom pay periods.

The Sheet is doing 3 jobs today: invoice tracking, hour splitting, and productivity analysis.

The new flow (Option A)
#StepWho touches it
1Techs clock in & outOn QuickBooks Workforce
2Hours sync to the master timesheet & to JobberAutomatic
3Multi-job days split by revenueDeterministic. Britnie confirms flagged outliers only
4Missing or anomalous entries flagged the same day by emailBritnie follows up
5Hours, job costs & backlog assembled before the weekend, outliers flaggedSergey reviews & decides

Percent-complete on multi-stage projects stays Sergey's call.

What changes

Britnie enters nothing twice, Sergey's weekend analysis becomes a quick review, and missed clock-ins get flagged the next day instead of at the end of the week.

Data & API access

QuickBooks Workforce (API), Jobber (API), Google Sheets (API).

5
AI Estimation Platform
Custom application · Wave 2 · unbottlenecking Sergey
Custom applicationSize LWill, Sergey, Ed
"This is one of the bottlenecks right now, because we do have opportunities. It's not like we're [...] struggling to get business. It's just more of [...] processing them quickly enough and getting them proposals so they can approve it [...] and schedule the projects."Sergey Kucher, Owner
"I joined the company about maybe six months ago [...]. And I still do not know how to price most things [...]."Ed Balta, Project Estimator

Form: Custom application. Real software with its own interface, built on Sergey's existing calculation logic.

ProPro++
Takeoff sheet upload, pricing logic set up & editable, calc app for the top 3-4 services, proposal generationEverything in Pro, plus AI-drafted scope descriptions, AI price benchmarking with suggestions, & all services including B2C
~6-8 wks~8-10 wks

Pro covers steps 4, 6, 7 & 9 for the top 3-4 services. The entire new flow is Pro++.

What breaks today
  • The calc sheets are detailed but extremely hard to use. There are separate calc sheets for each service, but Ed can only do window cleaning.
  • Ed needs to map window dimensions to S/M/L sizes on every single project.
  • Job descriptions get written by hand, cleaned in ChatGPT, then reviewed again by Sergey.
  • Sergey reviews 6 to 8 B2B estimates a week, taking ~2-4 hrs/wk. He tracks his own estimating time as a KSI because he wants it to come down.
The new flow
#StepWho touches it
1-3Pre-research, site visit, visual takeoffEstimator
4Takeoff export ingested; square footage mapped to sizes automaticallyAutomatic
5Scope description drafted from the HubSpot scope of work, routed to the right service rowsEstimator with AI assistance
6One tool covering B2B & B2C across all services, on Sergey's existing logic, with required fields prompted before a step can advanceEstimators enter
7Estimate moves to review inside the tool, leadership notified it's readyAutomatic
8Review of a consistent, pre-validated estimate with flags: price per sq ft against market for property type & size, materials cost benchmark, missing equipment checkSergey with AI assistance
9Proposal generated from the finished estimateCSR sends
What changes
  • Ed & the CSRs can price services only Sergey can price today.
  • Sergey reviews instead of building, and reviews something already checked.
  • More estimates go out, which is the actual revenue constraint.
Data access

Square Takeoff, HubSpot, the existing Excel calc sheets & Sergey's formulas, the proposal template.

How it pays back

In jobs won, not hours saved. RayAccess needs to send about $1M of proposals a month across 24-32 proposals, so the average is ~$31K. At a 30% close rate & the 15% margin target, each extra job won is worth ~$4.7K. Pro pays for itself after about 4 extra jobs, roughly 2 more proposals a month for 6 months. Pro++ takes about 5.

6
Weekly SEO Blog & Social Content
Assistant (Claude skill) · Wave 3 · saves ~1.5-3 hrs/wk
Assistant (Claude skill)Size MZander Cohn
"The thing that [...] is the most weekly repetitive all the time thing [...] is the blog post and social media post creation."Zander Cohn, Marketing
"If you can create a structured system [...] I think it's a great idea. It will actually help us to be very consistent with our SEO strategy."Sergey Kucher, Owner

Form: Assistant (Claude skill). Zander drives it himself, step by step. Nothing runs in the background and there's no new platform to adopt.

Option 1: skill onlyOption 2: full build
The Claude skill for topics, drafts, Claude Design prompts & social versions. Zander formats & publishes in WordPress himselfEverything in Option 1, plus WordPress integration (formatting, images placed, meta fields) & image generation beyond Claude Design
What breaks today
  • 1 blog post & 1 social post every week, produced end to end. 3-6 hrs each.
  • ~20% of that is hunting for usable job-site photos: 2 to 4 hrs/wk.
  • ~20% goes to editing an SEO article that's already being written by AI.
  • ~30% goes to WordPress updates & back-end formatting.
The new flow
#StepWho touches it
1Topic suggested from recently completed jobs, seasonality & search dataZander chooses
2Photos pulled from the tagged asset library for that jobZander confirms
3Case studies only: draft built from Jobber job notes & photos first, so the interview only fills gapsZander interviews staff
4Draft written in RayAccess's voiceZander edits
5Claude Design prompt generated for the article & social creativeZander runs it
6Formatted for WordPress with images placed & meta fields filledZander reviews & publishes
7Social versions generated from the finished postZander approves
Asset library cleanup needed
What changes

Zander saves lots of time, photos stop taking so long to find, and the weekly cadence for SEO is much easier to keep up.

Data & API access

WordPress, the asset library, Jobber job notes (API), Claude.

7
AR & Collections
Headless automation · Wave 3
Headless automationSize S-MBritnie Escalante
"So it's (the collections SOP) really intricate. And honestly, we don't do this because it's just nobody has time for it. We have 31, which is horrible. [...] Usually we don't let it get that bad, but it's just a time thing."Britnie Escalante, HR & Admin

Form: Headless automation with email notification. A daily contact list and created QuickBooks tasks.

What breaks today
  • 31 invoices outstanding at the time of the interview, & DSO sits at ~20 days.
  • The SOP has 6 escalation stages, and it's very hard to ensure they all happen.
  • Every call starts by hunting for context across QuickBooks tabs.
The new flow

Daily, the new system will sweep QuickBooks for notes, incorporate the SOPs, and send an email notification to those responsible for collections that includes a daily contact list.

What changes

The escalation SOP actually runs, because the system tracks the stage, and Britnie can hand collections to Esmeralda.

Data & API access

QuickBooks (invoices, customers, AR aging, notes), HubSpot, email.

8
Compliance Document Tracking
Dashboard & reminders · Wave 3
Dashboard & remindersSize SBritnie Escalante
"Somebody's COI, W-9 or agreement is expiring in August. [...] time sensitive, but it's important. [...] It's just hard to have time to go in and look through the things when I have fires to put out."Britnie Escalante, HR & Admin

Form: Dashboard & reminders. An add-on to the same reminder engine as collections.

What breaks today
  • Subcontractor COIs, W-9s, contractor agreements, workers' comp, licenses & certs get collected by email and tracked by hand across Drive & Monday.
  • Annual renewal chasing irritates subs, who often feel they just sent it.
The new flow
#StepWho touches it
1Document uploaded or arrives by email, expiry date read off itBritnie uploads
2Status board per sub & per employee: complete, missing or expiredAutomatic
3Reminder & request email drafted 30 days before expiryBritnie sends
What changes

Nothing expires quietly.

Data & API access

Google Drive, email.

9
AI Control Tower
Dashboard & reminders · Wave 4 · visibility · scoped after Wave 3
Dashboard & remindersSize LWilliam Brauer
"You're going to be my [...] control tower slash diagnostics motherboard."William Brauer, CEO

Form: Dashboard & reminders. A morning brief plus a compliance view. It reads the structured data the other 8 areas create.

Will's stated target is to close 2026 checking this first thing in the morning.

What breaks today
  • 50+ SOPs written in 4 months, with no way to measure whether they're followed outside the field.
  • Eduardo audits field SOPs & safety manually. Nobody audits the admin side at all.
  • Problems get found reactively, through conversation, rather than surfaced.
What changes

Problems get surfaced daily to leadership instead of discovered.

Data & API access

Jobber, HubSpot, CallRail, Google Calendar (APIs). SiteDocs to verify.

Further opportunities (not costed)

Raised by Sergey. None have been through discovery, so each needs its own session before it gets scoped or priced.

AreaWhat was raised
AI resume screeningSergey drops resumes into ChatGPT and asks for a comparison, a score & red flags. They use Indeed plus their own ranking spreadsheet, no ATS.

The opportunity is giving AI access to Indeed applicants so screening & scoring happen earlier in the funnel.
RFP & legal document extractionSergey already uses ChatGPT ad hoc to pull key terms out. Could stand alone, or feed the estimation platform so an RFP goes straight into quoting.
EZOffice asset managementEquipment dispatch & return, servicing, vehicle maintenance. Updates get missed, like an oil change on a van that needs recording. Sergey: "we're dropping the ball here."

AI Solutions Roadmap

Sequenced implementation plan including all top automation recommendations
Timeline

Months are relative to kickoff. All durations are approximate.

Wave
M1
M2
M3
M4
M5
M6
M7
M8+
Wave 1Quick Wins
~8 wks
Wave 2Core Builds
~6-10 wks
Wave 3Supporting
~6-8 wks
Wave 4Long Term
Deferred
WaveRunsDuration
Wave 1 Quick WinsMonth 1 to Month 2~8 wks
Wave 2 Core BuildsMonth 3 to Month 4 (5 on Pro++)~6-10 wks
Wave 3 SupportingMonth 5 to Month 6~6-8 wks
Wave 4 Long TermMonth 7 onwardDeferred
How we rank opportunities

Ideas scored ROI-first

Impact →
Start here
Quick wins
High return, easy to stand up.
3Statistical Reports
4Timesheet & Job Costing
2Invoicing
1Receipts & AP
6Weekly SEO & Content
Plan for
Big bets
Worth the investment, needs sequencing.
9AI Control Tower
5AI Estimation Platform
Fill-in
Nice to have
Cheap and easy, modest payoff.
7AR & Collections
8Compliance Tracking
Park it
Revisit later
Costly today, better once AI matures.
Nothing parked
← Easier to build
By area

Breakdown by problem area.

#AreaBuild typeWaveDurationInvestmentROI
1Receipts & APHeadless automation1~2-3 wks~$3.5K6 mo
2InvoicingHeadless automation1~3 wks~$4K6 mo
3Statistical ReportsDashboard & reminders1~3-4 wks~$6K4 mo
4Timesheet & Job CostingHeadless automation1~3 wks~$5K3 mo
5AI Estimation PlatformCustom application2~6-10 wks~$18-23K4-5 jobs won
6Weekly SEO & ContentAssistant (Claude skill)3~1 wk skill only, ~2-3 wks full~$1.5K-$4K2-3 mo
7AR & CollectionsHeadless automation3~2-3 wks~$3.5KN/A
8Compliance Document TrackingDashboard & reminders3~1-2 wks~$1.5-3KN/A
9AI Control TowerDashboard & reminders4Scoped after Wave 3Scoped after Wave 3N/A
Note: ROI numbers are calculated with $45/hr for admin time, $130/hr for Sergey's & Zander's time, and 4.33 weeks per month.