ModernWorkflows.ai builds and runs one AI-powered back-office function for Denver-area construction and professional-services firms — estimating, AP/AR, intake, or proposals. We build it, we run it, and your team keeps using the software they already know.
Roughly month eight before the function runs unsupervised.
Live in about six weeks.
Same function. Same work getting done.
Bids are gated on one person. When they're on vacation, bids stop. A commercial estimator runs $85–110K in Denver and takes four to six months to hire.
Invoices go out late, collections slip, and you find out about a margin problem in the monthly close instead of the week it happened.
Because nobody else knows the language, the pricing, or the history well enough — so it lands on the owner.
If one of these is costing you a week a month, that's the function we start with.
We find out what's actually bottlenecked and whether this is worth either of our time. If it isn't, I'll say so on the call.
I map the function end to end and verify the technical reality: what your systems will actually let us connect to, where the data lives, what's clean and what isn't. You get a written assessment with the build scope, the cost, and the projected time recovered. If I find a hard blocker that makes the build unworkable, you get your fee back. The fee credits against the build if you move forward within 90 days.
We build it, connect it to your existing systems, and test it against your real work — not a demo. You review before anything touches production.
It runs. We monitor it, fix it, and improve it. You get a monthly report on what it produced and what it saved. Nobody on your team becomes the AI person.
Total time from first call to working system: about six weeks.
| Hire a full-time person | Fractional or contractor | ModernWorkflows.ai | |
|---|---|---|---|
| Monthly cost | $7,100–9,200/mo in base salary for an $85–110K Denver role, before payroll tax, benefits, and software. Loaded cost adds roughly 30–40%. | Typically billed hourly against a retainer — $125–225/hr, 20–40 hrs/mo in the Denver metro. | $1,495–3,995/mo, fixed. Build fee is separate and one-time. |
| Time until productive | Four to six months to hire, plus 8–12 weeks of ramp before they run the function unsupervised. | Faster to start — 2–4 weeks — but they still have to learn your systems, pricing, and history. | About six weeks from first call to working system. |
| Hours of coverage | About 40 hours a week, minus PTO, holidays, and sick days. | 20–40 contracted hours/mo. Anything past that is billed extra or waits. | Runs continuously, including nights and weekends. Human support during 8am–6pm MT, Monday through Friday. |
| Turnover risk | Real. About 30% of contractors report estimator turnover in a given year, and a departure restarts the four-to-six-month hiring clock. | Moderate. They can take on a larger client or end the engagement on 30 days' notice. | None. The system doesn't resign. |
| What happens when they leave | The process leaves with them. The knowledge was never written down, and bids or invoices stop until you backfill. | You lose the context they built up and start over with the next one. | Nothing changes. The workflow, the logic, and the history stay documented and running. |
| Who has to learn a new tool | Nobody new, but you own the hiring, onboarding, and managing. | Often their preferred stack, which someone on your team has to adapt to. | Nobody. Your team keeps using the software they already know. |
Recruiting fee plus seven months of loaded salary, from a hire who has been running the function unsupervised for about four of those months.
Build fee plus eleven months at the Professional tier, running the function for ten and a half of them.
Calculated from the figures above — a $97,500 base salary at 35% loaded cost, a 22% recruiting fee, a five-month hire cycle, a $17,500 build fee, and the Professional tier at $2,495 per month. Your numbers will differ; the shape doesn't.
A recommendation from Bill Inmon, who created the data warehouse.
“The role calls for someone who can take a complicated, multi-region delivery motion and make it run cleanly. Someone who can stand between sales and services — in both languages — and translate. Someone who can spot what is broken before anyone has named it, and design something to replace it. Someone who builds operating cadence. Someone who quietly raises the floor on the team around him. That is Sandon. I have watched him do it.”
Bill Inmon — Father of the Data Warehouse · Founder & CEO, LLM MGMT
Denver-based. DU MBA. I work in person, across the metro.
Current build: a commercial door-and-hardware estimating engine for a Denver contractor.
Vendor-neutral. No reseller relationships that bias what I recommend.
One function — your choice of estimating, AP/AR, intake, or proposals.
Next business day, 8am–6pm MT.
After-hours and weekend support, a second function, new integrations after go-live, on-site visits.
One function plus one connected workflow — estimating that feeds proposals, or AP/AR that feeds job costing.
Same business day, 8am–6pm MT. Monthly review call included.
After-hours and weekend support, a third function, on-site installation.
Up to three connected functions running as one system — for example estimating, proposals, and AP/AR.
Four business hours. Direct mobile line. Bi-weekly review call included.
On-site A/V or hardware installation (quoted separately), functions outside the original build scope.
Build fee is $10,000–$25,000 depending on scope. Your Readiness Assessment fee credits against it.
I'll tell you which function to start with, or that you shouldn't start yet.
We start with the single back-office function that's costing you the most time. We build it, connect it to the systems you already use, and run it. Everything else below is available once we're working together.
Most firms start with whichever of these is eating a week a month.
Takes your plans, specs, and historical pricing and produces a first-pass bid. Pulls quantities, applies your labor and material rates, and flags scope gaps before they become change orders.
Bids stop being gated on one person.
Codes and routes invoices, matches them to purchase orders and job costs, flags variances, and drafts collection follow-ups on a schedule instead of when someone remembers.
You find out about a margin problem the week it happens, not in the monthly close.
Captures inbound leads, RFPs, and service requests from email and forms, pulls out the details that matter, routes them to the right person, and drafts the first response.
Nothing sits in an inbox for three days.
Assembles proposals from your past work, your pricing, and your language. Matches the scope to the right template, drafts the narrative, and formats it to go out.
It stops landing on the owner at 9pm.
Sixteen years of enterprise technology work doesn't disappear because we started with one function. These are available to firms we're already working with, scoped and quoted separately.
Practical, deployed, measurable AI — not slide decks.
Most businesses don't have an AI strategy — they have a ChatGPT account. We build the complete organizational AI playbook: use-case identification, tool selection, governance framework, team training, and a phased deployment roadmap aligned to your business goals.
We map your current manual processes, identify the highest-value automation targets, and engineer repeatable AI workflows for sales, customer support, operations, and reporting. The result: your team gets hours back every week.
We design, build, and deploy autonomous AI agents that execute defined business processes end-to-end. Lead qualification, document processing, automated reporting — all scoped, governed, and auditable.
Technology employees don't use delivers zero ROI. We run structured AI adoption programs — workshops, role-specific training, and manager enablement — that move your team from skeptical to proficient. Built to stick.
You cannot deploy a world-class AI strategy on outdated infrastructure. These services build the operational foundation your AI ambitions require.
Enterprise-grade UCaaS design and implementation. Zoom, Microsoft Teams, Cisco Webex, Google Meet, cloud calling, and contact center solutions — architected to work together and scale with your business.
Full-service A/V consultation, design, procurement, installation, and training. Conference rooms, huddle spaces, training rooms, and large-format displays — built to spec.
Comprehensive hardware assessment and refresh: computers, laptops, phones, servers, networking equipment, and peripherals — vendor-neutral recommendations and deployment.
Most SMBs overpay for overlapping software. We audit your full SaaS stack, identify redundancies, and consolidate into a lean, powerful operational toolkit.
Migrate on-premise infrastructure to the cloud or optimize your existing cloud spend. Microsoft 365, Google Workspace, Azure, and hybrid environments.
Monthly technology health checks, vendor relationship management, documentation maintenance, and AI workflow performance reviews to ensure your investment compounds.
Scoped, fixed-price engagements for defined outcomes — an AI readiness assessment, a workflow deployment, a conference room refresh. Clear deliverables, clear timelines.
Monthly strategic advisory for businesses wanting a trusted technology partner on-call — strategy reviews, vendor negotiations, ongoing AI optimization.
End-to-end modernization across AI, infrastructure, UCaaS, and A/V — delivered over a defined engagement period with milestones, reporting, and handoff built in.
That's what the fit call is for. Thirty minutes, and I'll tell you which one is worth building — or that you shouldn't start yet.
The functions we build are AI systems underneath. This is how they get designed, tested, governed, and kept running — and why they hold up in a business where a wrong number costs you a job.
Most businesses will spend the next 12 months debating whether AI is hype, whether it'll take jobs, whether ChatGPT is "actually that good." Meanwhile, a smaller group will spend those same 12 months learning to wield it, building with it, and stacking unfair advantages that will look like genius in hindsight.
Both groups have the same access. The same tools. The same hours in the day. The only difference is what they choose to do today — and that's where ModernWorkflows.ai comes in.
Book a 30-minute fit call →Source: AGC / Sage 2026 Construction Outlook
Deploying AI without a strategy is the fastest way to waste time and money. We build your complete organizational AI playbook — from executive alignment to employee rollout.
Every hour your team spends on repeatable, manual tasks is an hour AI could handle better, faster, and without error. We identify, design, and deploy your highest-value AI workflows.
The highest tier of AI deployment — autonomous agents that run defined business processes without constant human involvement. Scoped, safe, auditable, and transformative.
ModernWorkflows.ai holds two MIT certificates in applied agentic AI: Implementing Agentic AI: Building Your Organizational Playbook and Applied Agentic AI for Organizational Transformation. This isn't theoretical knowledge — it's the same framework MIT teaches to enterprise leaders, applied directly to your SMB.
Thirty minutes on a fit call. I'll tell you which function is worth building first — or that you shouldn't start yet.
Enterprise UCaaS and A/V experience, available to firms we're already working with. Conference rooms, phone systems, hardware refreshes, and software consolidation — scoped and quoted separately from the back-office builds.
ModernWorkflows.ai brings enterprise-grade UCaaS expertise to SMBs — the same depth of knowledge that powers enterprise deployments, scaled to your size and budget.
As a UCaaS Subject Matter Expert, we design, deploy, and optimize the full voice, video, messaging, and collaboration stack for your business. Platform-agnostic — we recommend what's right for your organization, not what earns the highest margin.
Every business meeting is either a competitive advantage or a wasted hour. We design and install conference room technology — from small huddle spaces to full boardrooms — that makes every meeting work flawlessly, first time.
Outdated hardware slows everything — productivity, AI adoption, and security. We assess your full hardware inventory, develop a cost-optimized refresh plan, and manage the procurement and deployment so you don't have to.
The average SMB pays for 12+ software tools and uses maybe half of them effectively. We audit your full SaaS portfolio, eliminate redundancies, and significantly reduce your monthly software spend while improving operational coherence.
ModernWorkflows.ai brings seven years of enterprise Zoom specialization — voice, video, and Zoom Rooms deployments — to every UCaaS engagement. Most consultants learn Zoom from documentation. We learned it deploying it to enterprise customers across North America.
We map your current environment, understand your business requirements, and design a technology solution that fits your workflow and budget — before a single purchase is made.
We coordinate procurement, manage vendor relationships, and handle the complete deployment — minimizing business disruption with staged rollouts and thorough testing.
Deployment isn't the finish line — adoption is. We run role-specific training, document your new environment, and provide ongoing support to ensure continuous performance.
It often isn't. If the phone system, the conference rooms, or aging hardware is what's actually costing your team time, start there. Seven years at Zoom deploying voice, video, and Zoom Rooms to enterprise customers — this is the work I did before I did anything with AI. Same call, same thirty minutes.
Nineteen years in enterprise software, at both ends of the size spectrum. Denver-based, and I work in person.
I started at BigFix in 2007 — a hundred-person company out of Emeryville, California. IBM acquired us in 2010, and I spent the next six years inside it, across Security, Hybrid Cloud, BigFix, and Revenue Acceleration. That's where I learned what enterprise-grade actually means when it isn't a marketing word: the process is the product, and nothing ships without being documented.
In 2017 I went the other direction — Forest Rim Technology, a six-person data-as-a-service company founded by Bill Inmon, where I was the only person selling. No team, no playbook, no pipeline, nobody to hand the hard part to.
Then seven years at Zoom as a Senior Enterprise Account Executive and UCaaS subject-matter expert, deploying voice, video, and Zoom Rooms to enterprise customers across North America. Between the enterprises and the small shops, I've watched hundreds of companies implement technology, and most of them do it badly. Usually not because they bought the wrong thing. Because nobody stayed to make it work.
I played defense for the University of Denver lacrosse team from 2003 to 2007. Four years of showing up before sunrise for something that doesn't pay teaches you one specific thing: the fundamentals have to be automatic before you get to be clever. That's how I build systems too. Boring first, then good.
ModernWorkflows.ai exists because small firms need the kind of technology work that only ever gets sold to enterprises. I'm not going to sell you a transformation. I'm going to build one function, make it work, and run it.
Bill Inmon created the data warehouse. He also founded Forest Rim Technology, where Sandon was the only person selling — he has watched Sandon work since 2017. This is what he wrote when Sandon asked him for a reference.
"The role calls for someone who can take a complicated, multi-region delivery motion and make it run cleanly. Someone who can stand between sales and services — in both languages — and translate. Someone who can spot what is broken before anyone has named it, and design something to replace it. Someone who builds operating cadence. Someone who quietly raises the floor on the team around him. That is Sandon. I have watched him do it."
No reseller relationships that bias our recommendations. We recommend the tool that's right for your business — even if it costs less. Your results are the only metric that matters.
Every engagement produces clear documentation of what was built, why, and how to maintain it. You own the knowledge — not just the deliverable.
Every project has defined success metrics before it starts — and we measure against them at every milestone. Technology for its own sake isn't the goal. Results are.
We will tell you when you don't need something. We'll tell you when the cheaper option is the right one. We'll tell you when your timeline isn't realistic. That's what a real partner does.
Thirty minutes. We find out what's actually bottlenecked and whether it's worth building. If it isn't, I'll say so on the call.
Thirty minutes. We find out what's actually bottlenecked and whether this is worth either of our time. If it isn't, I'll say so on the call.
We'll review your information before the call so we come prepared with relevant insights — not generic slides.
That's completely fine. Browse the site, look at what the four functions actually do, and reach out when one of them is costing you enough to be worth fixing.