Manufacturing & Distribution
Serial validation cut to under two minutes
| 5 → under 2 min | review time targeted |
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| 1–40 serials | validated per batch |
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| ~25% more | throughput, same staff |
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| Live CRM | on-demand Dynamics lookups |
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Distek's sales-support team validated serial numbers against a spreadsheet that was up to 30 days stale, so customers waited on answers that were already wrong. TomorrowToday replaced it with an AI agent that checks Dynamics 365 live, clears up to 40 serials in a single batch, and runs the team's own decision SOP, cutting reviews to under two minutes and lifting throughput about 25% with nobody added.
Financial Services
8 to 15 hours reclaimed per processor, weekly
| 25 to 50% | of processor time lost to manual transfer |
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| 8 to 15 hrs | reclaimed per processor weekly |
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| 17 systems | unified by invisible automation |
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| 300% volume | growth supported, no proportional hiring |
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United Mortgage Lending was growing fast and refused to grow headcount at the same pace. TomorrowToday layered in invisible automation that files documents, drafts post-call summaries, and moves data across 17 systems between Salesforce and the core loan platforms. Each processor reclaimed 8 to 15 hours a week, and the lender supported 300% volume growth with the same team.
Sports & Recreation
68% of staff now use AI every week
| 68% | of staff using AI weekly |
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| 8.2 / 10 | team AI excitement score |
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| 109 surveyed | 81 execs (2024) and 28 staff (2026) |
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| 6 demos | of golf-specific AI, swing to voice |
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The National Golf Foundation, the game's research and data authority, wanted to graduate from scattered AI experiments to a real capability. TomorrowToday surveyed 109 people, built an AI governance framework and internal Council, and installed a champions coaching program. The result: 68% of staff now use AI every week, rating their own enthusiasm 8.2 out of 10.
Construction & Trades
Every relevant RFP, in the inbox by morning
| 15+ | platforms scanned nightly |
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| Every morning | a curated RFP shortlist |
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| 0 | missed opportunities |
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KEAR Civil was losing bids it never saw, because RFP monitoring was manual and hit-or-miss. TomorrowToday built an AI procurement agent that scans 15+ platforms overnight, scores every opportunity against KEAR's own criteria, and drops a curated shortlist in the inbox each morning before the team walks in.
Financial Services
Executive AI training built for a regulated bank
| 8 modules | hands-on Gemini training |
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| 6 capabilities | taught hands-on |
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| Custom pack | of real AZ banking docs |
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| Every leader | applied Gemini to own work |
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National Bank of Arizona put its executive team through enterprise Google Gemini in a single hands-on workshop. TomorrowToday built eight modules around the bank's real lines of business, taught with a proprietary prompting framework and a custom NotebookLM pack drawn from genuine Arizona banking and regulatory documents. Every leader left having already applied Gemini to their own work.
Manufacturing & Distribution
AI governance across 600 staff, 6 facilities
| 600 employees | across 6 production facilities |
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| 12 → 15 | AI Champions scaled |
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| 3 RAG bots | for SOPs, maintenance, HR |
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| AI Council | governance and policy stood up |
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Prisma, a 600-person commercial-printing enterprise across six facilities, wanted AI rolled out the right way. TomorrowToday led a governance-first program, a baseline adoption survey, an AI Vision and policy, an AI Council, and a Champions program grown from 12 to 15, then delivered three Azure RAG chatbots covering production SOPs, equipment maintenance, and HR policy.
Marketing & Advertising
10 to 200+ ad campaigns, monitored hands-free
| 10 → 200+ | campaigns scaled |
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| 7 scenarios | detected and diagnosed |
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| Writes own SQL | against Snowflake |
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| Daily | hands-free monitoring |
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Mogl's traders opened each day hand-writing optimization notes across dozens of programmatic campaigns. TomorrowToday is building Project APEX, an agentic AI analyst that watches CPA spikes and ROAS drops against a learned 30-day baseline, writes its own Snowflake queries to pinpoint the cause by device, partner, and creative, then emails back ranked fixes. It is built to scale from a 10-campaign pilot to more than 200.
Marketing & Advertising
On-brand signage across 68,000 stores
| 68,000 | retail points of sale in scope |
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| 44–86 hrs/mo | agency capacity targeted |
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| $3.3K–6.5K/mo | recoverable capacity projected |
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| Self-serve | on-brand signage, off-brand flagged |
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Two x Four brought TomorrowToday in for AI governance, an AI Champions program, and n8n automations across media pacing, timesheets, and PO workflows. The standout: a Brand Alignment Checker for beverage brand Carbliss that uses custom GPTs and image-merge so 68,000 retail locations can self-generate on-brand signage, while it automatically catches off-brand fonts, colors, and packaging.
Marketing & Advertising
Two-thirds already on AI, now with guardrails
| 66.7% | staff already using AI, 27.3% daily |
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| 81.8% | requested official AI training |
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| 7.0 / 10 | team excitement score |
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| ~50% less | note-taking time projected |
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KSV, a sustainability-focused ad agency, asked TomorrowToday to map its AI readiness. The org-wide survey found two-thirds of staff were already active AI users and 82% wanted official training and guardrails. TomorrowToday answered with a governance framework built around a distinctive environmental-impact lens, an AI Champions program, and a self-hosted Open WebUI and n8n platform.
Construction & Trades
Supplier price coverage lifted to 95%
| 80% → 95% | supplier price coverage |
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| $600–$700 | cost per avoidable return visit |
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| One submit | replaces a days-to-month backlog |
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| Live pricing | via authenticated supplier lookups |
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Neptune Plumbing & Heating ran a quote process where supplier pricing took minutes to hours and back-office work backed up for weeks. TomorrowToday built a mobile-first AI estimating system that captures job data at the source, pulls live login-gated supplier pricing automatically, OCRs handwritten forms, and flags the missing measurements behind $600 to $700 repeat visits. A second supplier later lifted material coverage from about 80% to 95%.
Real Estate
Six AI builds under one roof
| Full AI portfolio | under one relationship |
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| Fund history | rebuilt to 2008 from PDFs |
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| In-house | rent-comps, a RealPage alternative |
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| ~4–6 hrs/wk | client effort targeted |
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Kensington Investment Company handed TomorrowToday a whole portfolio of AI under one roof: an HR RAG chatbot, a multi-model Open WebUI platform, executive training, and a set of standout agents. One rebuilds fund-holdings history back to 2008 from messy quarterly PDFs; another, scoped as an in-house alternative to RealPage YieldStar, automates rent-comparables research.
Manufacturing & Distribution
$204K a year projected from $70K of pilots
| ~$204K/yr | projected from $70K of pilots |
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| 65 surveyed | plus 14 champion interviews |
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| 61.6% | of staff already use AI |
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| Open WebUI + n8n | live in client Azure |
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Abracon, an electronic-component manufacturer with a 100,000-SKU catalog, wanted proof before scale. TomorrowToday combined a 65-person adoption survey, 14 champion interviews, and a maturity model into a phased roadmap projecting about $204,000 in annual value from $70,000 of 90-day pilots, a four-month payback, all backed by a live Open WebUI and n8n deployment in Abracon's own Azure.
Manufacturing & Distribution
A day of contract review, down to under an hour
| Day → 30 min | contract-review target |
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| ~10/month | contracts reviewed, 5–80 pages |
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| Every project | answered in plain language |
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| Cited | answers with hallucination checks |
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SWF Industrial's teams dug through a fabrication ERP and messy SharePoint shares to answer basic project questions, and hand-reviewed about 10 contracts a month at two to three hours each. TomorrowToday built a citation-backed RAG assistant for their project data, with nightly ingestion and hallucination detection, plus an AI contract reviewer that collapses a full day of review into under an hour.
E-commerce & Retail
10x faster eBay listings, 200+ a day
| 10x speed improvement | in listing creation |
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| Consistent quality | across all listings |
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| 200+ listings per day | with optimized SEO |
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| Higher conversion rates | from better descriptions |
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Grad Collection rebuilt their eBay listing workflow around AI-powered content generation. What once took 15-20 minutes per listing now takes less than 2 minutes, with consistently high-quality descriptions, optimized keywords, and compelling product narratives. This 10x improvement enabled the team to scale their inventory dramatically while maintaining premium listing quality.
Manufacturing & Distribution
30 jobs a day, scheduled in seconds
| 20–30 jobs/day | auto-scheduled |
|---|
| 1 → 3-day | planning horizon |
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| Up to 3 hrs/day | saved on planning |
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| Production v1.0 | shipped Mar 2026 |
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Goodmans dispatched 20 to 30 installation crews a day from spreadsheets and a whiteboard, all living in one expert scheduler's head. TomorrowToday captured that knowledge, badges, DOT certs, customer pairings, equipment, into a tunable AI auto-planner now shipped to production as v1.0. It stretches planning from a single day to a rolling three days and hands the scheduler back up to three hours daily.
Real Estate
200+ hours of monthly invoice work, automated
| 500 | invoices a month through AI intake |
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| 200+ hrs | of monthly manual AP work |
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| ~27 fields | auto-validated per invoice |
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| 100% | human approval preserved |
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SimonCRE was clearing 500 vendor invoices a month by hand, over 200 hours of pure data entry. TomorrowToday built a headless AI agent that reads every invoice, validates the line items across roughly 27 fields, enforces the compliance rules, and posts approved records straight into vendor portals. The keying disappeared, the sign-off stayed human, and a monthly bottleneck became a same-day pipeline.
Marketing & Advertising
AI adoption nearly doubled in one quarter
| 40% → 77% | daily AI adoption in one quarter |
|---|
| Up to 100% | adoption at network agencies |
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| 88% | staff actively using or learning AI |
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| 10% | time-savings target reached |
|---|
Princeton Partners runs a network of independent agencies that needed one shared AI foundation. TomorrowToday stood up a secure self-hosted platform, launched an AI Champions program, and ran monthly coaching, and daily adoption climbed from 40% to 77% at the flagship agency, reaching 100% at others. Within a quarter, 88% of staff were actively using or learning AI.
Healthcare
200+ marketers trained on enterprise AI
| 200+ marketers | successfully trained |
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| Enterprise-wide adoption | across multiple teams |
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| 50% improvement | in marketing efficiency |
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| Sustained engagement | 90 days post-training |
|---|
Boston Scientific partnered with us to drive organization-wide AI adoption across their global marketing teams. Through customized training programs and change management support, we equipped 200+ marketers with the skills and confidence to leverage AI tools effectively, resulting in measurable improvements in productivity and campaign performance.
Financial Services
5x more AI usage in 30 days
| 5x increase | in AI tool usage across teams |
|---|
| 100% team engagement | in training program |
|---|
| 30 days | from launch to full adoption |
|---|
| Sustained productivity gains | 6 months post-implementation |
|---|
Korhorn Financial Group drove firm-wide AI adoption through a change management and training program built for their teams. By combining technical training with cultural transformation, we helped the entire organization embrace AI tools confidently, resulting in a 5x increase in daily AI tool usage and measurable improvements in client service quality and operational efficiency.
Real Estate
Document review at 96% accuracy
| 96%+ | document-detection accuracy targeted |
|---|
| 22 | escrow processes mapped |
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| 1,200+ agents | across a 10-office brokerage |
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| 3–5x | projected processing capacity |
|---|
AI Silver Birch, a 1,200-agent brokerage, started with two role-based AI deep dives that mapped 22 escrow processes and seeded a production build. TomorrowToday delivered a headless document-QA reviewer that watches BoldTrail uploads, catches missing signatures and incomplete bundles, and writes verdicts back into the platform at a 96%+ accuracy target, with analysis projecting 3 to 5x processing capacity.
Technology & IT
Every ticket auto-routed on a new AI foundation
| 40% faster | ticket resolution targeted |
|---|
| 10 hrs/week | of manager time targeted |
|---|
| 61% | of 47 staff already use ChatGPT |
|---|
| Built-in | observability + governance |
|---|
Matrix Integration didn't want a chatbot, it wanted a foundation. TomorrowToday delivered this MSP its first reusable AI platform, observability and governance baked in, anchored by an agentic Ticket Orchestrator that reads ConnectWise, routes each ticket to the best-skilled engineer, and schedules field techs by skill and drive distance behind a human approval. With 61% of staff already on ChatGPT, it targets 40% faster resolution and 10 manager-hours back each week.
Marketing & Advertising
An embedded AI advisor across 15 teams
| 15 areas | with monthly AI enablement |
|---|
| AI Champions | building real custom-GPT workflows |
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| Retainer | for ongoing embedded advisory |
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| GPT workflows | from notes to RFP analysis |
|---|
Gravity Global, a global B2B advertising agency, keeps TomorrowToday on as an embedded AI advisor. The retainer runs monthly strategy sessions across 15 practice areas and coaches departmental AI Champions to ship real custom-GPT workflows, from meeting notes and status reports to SOW generation, RFP analysis, and estimation-anomaly detection.
Manufacturing & Distribution
AI search across 13 SharePoint sites
| 13 SharePoint sites | unified into one search |
|---|
| Semantic + metadata | AI relevance ranking |
|---|
| Permission-aware | honors each user's access |
|---|
| Copilot alternative | without per-seat licensing |
|---|
Arizona Tile, a natural stone and porcelain tile distributor, needed one place to search across 13 separate SharePoint sites. TomorrowToday built an AI search assistant that understands natural-language questions and returns ranked, permission-aware results, honoring each user's own access, as a cost-effective alternative to per-seat Microsoft Copilot licensing.
Financial Services
Investor relations, handled in four languages
| 4 languages | Spanish, Chinese, Vietnamese, Korean |
|---|
| ~40 emails/wk | IR volume at peak season |
|---|
| Multi-source RAG | over process, IR, due-diligence docs |
|---|
| End to end | discovery through maintenance |
|---|
Civitas Capital Group manages EB-5 and alternative real-estate investments for a global investor base, in many languages. Across seven engagements, TomorrowToday designed a multilingual AI investor-relations system that routes, translates, and analyzes inbound email in four languages, and built an Azure RAG chatbot spanning process, IR, and due-diligence documents.
Manufacturing & Distribution
Targeting a 25% cut in monthly returns
| ~$20K/mo | packaging-related returns |
|---|
| 25% cut | in returns targeted |
|---|
| 80–90% fewer | leadership floor interruptions |
|---|
| Bilingual | EN/ES, vision + WMS data |
|---|
Master Electronics, a global component distributor, was bleeding about $20,000 a month to packaging-related returns. TomorrowToday ran AI deep dives across distribution and product management, then scoped an AI packaging assistant that pairs warehouse data, camera vision, and bilingual GenAI, targeting a 25% cut in returns and an 80 to 90% drop in the floor interruptions that pull leaders off the job.
Real Estate
A self-serve recruiting pipeline on custom GPTs
| 3 custom GPTs | for JD, scoring, evaluator |
|---|
| 0–100 score | with an 85% pass threshold |
|---|
| 93% | of 44 staff named tasks to automate |
|---|
| 59% | of staff use AI daily or weekly |
|---|
TomorrowToday built MC Companies a closed-loop recruiting pipeline on ChatGPT Teams: one custom GPT drafts a compliant job description and a weighted rubric, a second scores every resume for a pass-or-decline call. The pair clones to any new role in minutes, so MC's team runs it on their own. A parallel survey of 44 staff found 93% could already name work they wanted to automate.
Real Estate
97% faster lease abstraction, hours to minutes
| 97% reduction | in lease abstraction time |
|---|
| Hours to minutes | for complex lease documents |
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| 100% accuracy | in data extraction |
|---|
| $500K+ annual savings | in legal review costs |
|---|
Federal Realty Investment Trust transformed their lease management process by implementing AI-powered document analysis for lease abstraction. Complex legal documents that previously required hours of manual review are now processed in minutes with perfect accuracy, freeing legal and operations teams to focus on strategic decision-making and tenant relationships.
E-commerce & Retail
85% less time on product merchandising
| 85% reduction | in merchandising time |
|---|
| 3x faster | product discovery optimization |
|---|
| 40+ hours per month | reclaimed for strategy |
|---|
| Increased conversions | through better product placement |
|---|
Bad Birdie transformed their product merchandising workflow with AI-powered automation, reducing the time spent on product organization and display optimization from hours to minutes. This allowed their team to focus on creative strategy while maintaining optimal product discovery and customer experience across their e-commerce platform.
Technology & IT
95% faster order processing, zero errors
| 95% faster | order processing time |
|---|
| Zero processing errors | after implementation |
|---|
| 10x capacity increase | with same team size |
|---|
| 60-day ROI | from efficiency gains |
|---|
Eagle Point Solutions automated their order processing workflow with AI. What previously took hours now takes minutes, with perfect accuracy and zero errors. This transformation enabled the team to handle 10x their previous order volume without adding headcount, dramatically improving customer satisfaction and operational efficiency.
Real Estate
Letters of intent drafted from one email
| Email → LOI | drafted from a forwarded email |
|---|
| Conflict flags | for exclusive-use issues |
|---|
| Plain-language Q&A | across years of historical leases |
|---|
| Showcased | publicly at RealComm 2024 |
|---|
SITE Centers, a publicly traded retail REIT, wanted its leasing team moving at deal speed. TomorrowToday built a generative AI leasing assistant that turns a forwarded email and a few deal points into a drafted letter of intent, answers plain-language questions across years of historical leases, and flags exclusive-use conflicts before they bite. The team showcased it at RealComm 2024.
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