Your team loses 61% of the workday to work that isn’t the job.
Source: Asana, Anatomy of Work Index.
Meetings, status updates, app-switching, chasing down information — that’s where most of the day goes. We build AI agents that take that work off your team’s plate, inside the tools they already use.
- No credit card required
- 30-minute call
- Response within 1 business day
Built by the team behind two decades of enterprise workflow engineering for operations teams in healthcare, manufacturing, BFSI, and SaaS.
- 308 hrs
- a year lost to duplicated work
- 187 hrs
- a year in unnecessary meetings
Source: Asana, Anatomy of Work Index.
The cost of doing it by hand
What busywork is really costing you.
Every number on this page is a named, dated, external study — not an internal guess. Your team’s number will be different. The audit gives you that one.
61%
of the workday
Where the time goes
Employees spend 61% of the workday on “work about work” — status updates, chasing information, switching between apps — not the job they were hired to do. The same study found the average worker loses 308 hours a year to duplicated work and 187 hours a year to unnecessary meetings.
Source: Asana, Anatomy of Work Index.
$12.9M
a year, average org
What bad data costs
Poor data quality costs the average organization $12.9 million a year. That number is before you count the hours spent re-entering, checking, and fixing that data by hand — the exact work an AI agent takes over.
Source: Gartner, data quality research.
$20B
industry-wide, per year
What one mistake costs
A denied healthcare claim costs $47.77 to $63.76 to rework, and providers rework roughly 3 billion claims a year. A manual KYC review at a bank costs $1,500 to $3,000. One missed field, multiplied across a year of volume, is where the real damage happens.
Sources: Premier Inc. / HFMA, 2024; Fenergo, 2025 KYC Trends Report.
Ten of them, off the top
The jobs your best people shouldn’t be doing.
- 01 Copying data from PDFs and emails into the CRM, ERP, or EHR
- 02 Logging into five different systems to answer one question
- 03 Checking insurance, KYC documents, or compliance forms by hand
- 04 Typing the same customer or claim details into multiple systems
- 05 Chasing missing paperwork from customers, patients, or vendors
- 06 Matching invoices to purchase orders, line by line
- 07 Sorting support tickets that a script could sort instead
- 08 Tracking down a claim, loan, or shipment across several portals
- 09 Writing the same kind of email, over and over
- 10 Double-checking work for mistakes before it goes out
Why this isn’t another chatbot
Your business isn’t simple. So why does your automation have to be?
Chatbots follow scripts. RPA follows rigid rules. Promact AI agents actually reason.
| Compare on | Traditional chatbots Scripted FAQ | Traditional RPA Screen automation | Promact AI agents Reasoning agent |
|---|---|---|---|
| Handling data | —Only understands strict, pre-written FAQ scripts | —Requires rigid spreadsheets; breaks if a screen changes | ✓ Reads unstructured text, emails, PDFs, and handwriting |
| Decision making | —Cannot make decisions | —Follows strict IF/THEN rules only | ✓ Reasons through context and company policy |
| System interaction | —Sits in a website window | —Clicks buttons on screen | ✓ Connects directly to backend systems and databases |
| When things change | —Fails with a canned “I don’t understand” | —Stops and throws an error code | ✓ Adapts to changing formats, asks a human when uncertain |
How it works
From audit to agent, in three steps.
Not a six-month IT project. Not a self-serve sandbox. The same protocol every team we onboard follows.
Book your free workflow audit
- We map your real workflows: where documents come in, which systems your team touches, where the delays happen.
- You get a written summary of exactly where you’re losing hours and a rough cost estimate — even if you never work with us.
We build the agent around your business
- Trained on your templates, your systems, your rules — not a generic model.
- Weekly check-ins so you always know what’s being built and why.
- Your team keeps working normally while we build in parallel.
Go live in one team, then scale
- The agent launches inside your existing tools — your CRM, EHR, ERP, or inbox. No new tab, no new login.
- We track hours recovered from day one.
- Once it’s proven in one department, we expand it across the business.
What the agent does
Built around how your business actually runs.
Reads everything your team reads
- Extracts names, dates, amounts, and policy/claim/matter numbers from PDFs, emails, and scanned documents.
- Flags missing information automatically.
- Cross-checks values against your existing records before anything gets updated.
Works across every system you already use
- Connects to your CRM, ERP, EHR, or custom database via API.
- Pulls from System A, validates against System B, updates System C — in seconds, not the 20 minutes it takes a person to tab between screens.
Makes judgment calls, not just rules
- Recognizes when something’s missing or unusual and knows what to do next.
- Drafts the follow-up email, flags the exception, or pauses and asks a human — instead of breaking, the way traditional RPA does the moment a screen layout changes.
Keeps a human in control
- Every high-stakes decision routes to your team for one-click approval.
- Full audit trail of every action the agent takes.
- You decide what the agent can do autonomously and what always needs sign-off.
Four industries
Already solving this where the paperwork is worst.
Healthcare & Medical Billing (RCM)
The problem
Denied claims pile up paperwork and slow down cash flow.
What the agent does
Scans patient records, pulls the payer’s own criteria, fills out and submits prior authorizations, checks insurance before appointments, and follows up on unpaid claims automatically.
$47.77 – $63.76
to rework a single denied claim
Providers rework about 3 billion claims a year — a $20 billion industry-wide bill. Catching errors before submission cuts directly into that number.
Source: Premier Inc. / HFMA, 2024.
Manufacturing & Supply Chain
The problem
Vendor invoices and shipping receipts pile up across disconnected systems.
What the agent does
Reads incoming invoices and shipping paperwork, matches them to purchase orders in SAP or Oracle, flags price mismatches, and routes approved invoices for payment.
$9.40 → $2.78
cost to process one invoice
Manual invoice processing averages $9.40 and 9.2 days. Teams that automate it get that down to $2.78 and 3.1 days.
Source: Ardent Partners, 2025 AP Metrics That Matter.
Banking, Financial Services & Insurance
The problem
Manual document review and compliance checks slow down every new customer.
What the agent does
Reads bank statements and tax filings, checks applicants against compliance rules, flags risk, and prepares a complete file for underwriters.
18 min → 30 sec
per KYC verification
A manual KYC review costs $1,500 to $3,000 and takes 18+ minutes. Automated verification does it in under 30 seconds and cuts the cost by up to 70%.
Sources: Fenergo, 2025 KYC Trends Report; AU10TIX, 2026.
Technology & SaaS
The problem
Support and IT teams are buried in routine tickets.
What the agent does
Reads tickets, searches internal documentation, runs diagnostics, and resolves issues or grants access automatically.
$45 → $15
per resolved ticket
A human-handled support ticket costs about $45 to resolve. Automated, self-service resolution costs about $15 — roughly a third of the price.
Source: 2026 service-desk cost benchmark.
Why now
Every quarter you wait, the gap gets wider.
Your leadership already has a blind spot
Company leaders think only 4% of employees use AI for a third of their daily work. The real number, self-reported by employees, is about three times higher.
If leadership is underestimating how much AI adoption is already happening inside your own walls, they’re almost certainly underestimating it at your competitors too. 87% of executives expect gen AI to grow revenue within three years — the ones who move first get to test that while the rest are still asking permission.
Source: McKinsey, Superagency in the Workplace, 2025.
Moving fast isn’t enough on its own
Gartner expects 40% of agentic AI projects to be scrapped by 2027 over unclear ROI and weak governance. The gap between the companies that win and the ones that write it off isn’t the technology — it’s whether the agent was built around a real workflow, with a human still in control.
That’s why Promact starts with an audit, not a demo.
Source: Gartner.
40%
of enterprise applications will include task-specific AI agents by the end of 2026
Gartner
64%
of enterprises already use AI in day-to-day operations
NVIDIA, 2026 enterprise AI survey
42% / 5%
have tested or deployed an AI agent — but only 5% say their processes are highly prepared for one
Deloitte, State of AI in the Enterprise, 2026
We put a number on it — and back it.
Your audit gives us a specific number: hours saved per employee, per week. We commit to that number before we start building. If we miss it within the agreed pilot period, we keep working at no extra cost until we hit it.
Ask about the Fit Guarantee on your callHow we stack up
Every vendor sells you a tool. We build you an agent.
Compare the model, not just the marketing.
| Criteria | Generic AI chatbot Per-seat SaaS | Traditional RPA Platform license | Big-4 AI consulting Enterprise contract | Promact Custom agent |
|---|---|---|---|---|
| Model | —Subscription per seat | —Self-service platform license | —Enterprise sales, long contracts | ✓ Custom agent build + support |
| Setup | —None — but no integration either | —Self-service + IT-heavy config | —6–12 month procurement & scoping | ✓ We build it around your workflow |
| Unstructured data | —No | —No — breaks on format change | —Varies | ✓ Yes — reads PDFs, emails, scans |
| Customization | —Prompt-based only | —Rule configuration | —Fully custom, expensive | ✓ Built around your exact process |
| Human oversight | —N/A | —Rule-based only | —Varies | ✓ Built-in human-in-the-loop approval |
| Time to value | —Immediate but shallow | —Months | —6–12+ months | ✓ Weeks |
What this actually costs
Value first. Then the number.
Your exact investment depends on which workflows you automate first and how many systems we connect to. Most engagements are scoped and quoted on your free audit call — no generic price list, because no two operations teams lose time in the same place.
Get your custom quoteIncluded in every engagement
-
Custom AI agent build
Scoped to your top 2–3 workflows and built around how your team actually works.
-
Free 30-minute workflow audit
Plus a written cost-of-inaction estimate — yours to keep either way.
-
Integration into your existing stack
Your CRM, ERP, EHR, or DMS, via API. No new interface for your team to learn.
-
Human-in-the-loop approval workflows
Configured to your risk tolerance — you decide what needs sign-off.
-
Weekly progress check-ins
Through the whole build. You always know what’s being built and why.
FAQ
Questions, answered.
Your best people should be doing their best work. Not busywork.
Employees lose 61% of the workday to work that isn’t the job. Poor data quality alone costs the average company $12.9 million a year. Those numbers don’t pause while you decide — every week you wait is another week of the same hours and the same cost.
Sources: Asana, Anatomy of Work Index; Gartner.
- A custom AI agent built around your workflows — under NDA
- Trained on your documents, templates, and systems
- Lives inside the tools you already use
- Scoped and quoted after a free, no-obligation audit
- Backed by our Fit Guarantee
Door A
Close this tab. Your team loses the same hours next week. And the week after.
Door B
Book a 30-minute call. Walk away with a written estimate of what manual work is costing you — whether or not you ever work with us.
Book your free workflow audit
Tell us where the manual work piles up and we’ll come to the call already knowing your business. Free 30-minute call, no credit card, no sales pitch — we respond within one business day.
Free workflow audit
30 minutes · No credit card
