3 days2 hours
We automated pulling, matching, and reconciling rent rolls, bank activity, and vendor invoices across properties. Exceptions route to one person instead of the whole team re-keying.
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AI & Automation · Real examples
Here's what we automate — and what it returned.
3 days → 2 hoursMonth-end close · property management
Hundreds of thousandsSaved a year in overtime · manufacturing
Devantas automates the repetitive work that eats your team's week — month-end close, document intake, reconciliation, reporting — and proves the return before we build. Every example below is a real Devantas engagement. Client names are withheld; the numbers are not.
01 — The results
What has Devantas automated, and did it work?
In short: Devantas has cut a property manager's month-end close from 3 days to 2 hours and saved a manufacturer hundreds of thousands of dollars a year in overtime — by finding the work worth automating, proving the return, and keeping a person on the exceptions.
Hundreds of thousands saved a year
AI-assisted scanning and classification of inventory and shop-floor documents replaced manual counts and spreadsheet backlog logs. Overtime for end-of-week catch-up was effectively eliminated.
45 minutesUnder 5 minutes per file
An intake assistant reads, names, files, and flags incoming client documents. Staff review only the exceptions.
2 hours10 minutes per lease
Key terms, dates, and options are extracted from leases into the property system, with a human sign-off step.
Same-dayInstant, 24/7
A retrieval assistant grounded in the firm's own plan documents and policies. Answers cite the source page, and it escalates to a person when it is unsure.
~300 a day, manual~20 a day, reviewed
Rules plus AI matching on transaction feeds, so only true exceptions reach the operations team.
2 weeks2 days per quarter
Statements, K-1 packets, and portfolio summaries are assembled automatically from source systems under a documented data-handling policy.
DaysMinutes, with an audit trail
A secure records assistant with role-based access and logging. Nothing leaves the environment.
Not every workflow is worth automating. Part of what you pay us for is telling you which ones aren't.
02 — Our approach
How does Devantas decide what to automate?
We start with the return, not the technology. We measure where your team's hours actually go, size what automating each workflow is worth, and prove it on one workflow before expanding. A person stays on the exceptions, your team helps build it, and governance is decided in writing before any model touches your data.
Start with the return
We size the prize before anything is built: hours spent today, how often the work runs, and what errors cost. If the return isn't there, we say so.
One workflow, not a platform
We prove it on the work with the most hours and the least risk, then expand from evidence instead of enthusiasm.
A person on the exceptions
The automation handles the routine and people review only what needs judgment. Every result on this page works that way.
Built with your people
Your team helps shape it, so they trust it and use it. Automation nobody uses is a cost, not a result.
Governed from day one
Data handling is decided in writing before a model touches anything. Access, logging, and acceptable use are part of the build.
We work ourselves out of a job
Documentation and source are yours from the first commit. When your team can run it, we step back.
03 — From pilot to production
How does a pilot become production?
In four phases — Assess, Architect, Build, Operate — and you can stop after any of them. The assessment is yours outright, so if the plan says automate one workflow and leave the rest alone, that is what the plan will say.
01
Assess
We map the workflows, the volume, and where the hours actually go — and where your data lives today. You get an inventory of what is automatable first and what the data-handling constraints are.
02
Architect
A written plan with sequencing, cost ranges, and a documented data-handling decision for every workload — which vendors touch your data and what security and policy controls apply.
03
Build
A small senior team ships working automation every two weeks. You see it running, in your environment, before you approve the next increment — no offshore hand-off, no ticket queue.
04
Operate
Pilots are hardened to production with governance, acceptable use, and audit trails. We stay on the hook for monitoring and iteration. Documentation and source stay with you either way.
04 — What you see
What does automation look like day to day?
You get visibility you didn't have before: how fast the books close, what's in the intake queue and what needs a person, and how many hours each workflow gives back to your team. These are example views of the kind of reporting an engagement produces — not client data.
Close-cycle tracker
Intake queue
Auto-filedFlagged for review
Hours returned
FinanceOperationsClient service
05 — Beyond saving time
How can AI help you earn more, not just save time?
The same automation that removes busywork opens new ways to win revenue: answering customers after hours, quoting faster than competitors, and seeing problems before the month ends. It also lets you take on more volume with the team you already have, instead of a hiring plan.
Answer customers after hours
A grounded assistant on your own policies and documents. Quotes and questions don't wait for Monday.
Quote faster than competitors
Pull specs, pricing history, and lead times into a draft quote in minutes. The first credible quote often wins the work.
See the whole backlog
One live view of what's stuck, where, and for how long. It replaces five spreadsheets and a status meeting.
Turn documents into data
Contracts, leases, invoices, and forms become searchable, reportable records. Questions that took a day of digging take a search.
Know before the month ends
Exception alerts and daily rollups replace the surprise at close. You fix problems while they are still small.
Scale without the hiring plan
Handle more volume with the team you have. Redeploy people to customer-facing work instead of re-keying.
06 — The service
What's included in Devantas's AI & Automation service?
AI & Automation from Devantas covers the full path from first idea to a system your team relies on: document intake, retrieval assistants grounded in your own content, back-office workflow automation, and the security, governance, and hardening that keep it running. It is delivered by an experienced, fractional team on a monthly retainer or a scoped project.
- Document intake, extraction, and validation
- Retrieval assistants grounded in your own content
- Back-office and workflow automation
- Security and policy controls over sensitive information
- AI governance, acceptable use, and audit trails
- Pilot-to-production hardening
07 — Your data
How does Devantas protect your data?
Every engagement starts with a written data-handling decision: which vendors touch your data, what their retention terms are, and where your data can and cannot go. Your data is not used to train AI models, and you own the code, documentation, and credentials from the first commit.
Every AI engagement starts with a written data-handling decision: which vendors touch your data, what their retention terms are, and where your data can and cannot go. Nothing goes to a model without that answer on paper.
We help you put security and policy controls in place to watch over sensitive information — who can access it, where it can and cannot go, and how every touch is logged. Governance, acceptable-use policy, and audit trails are part of the build, not an afterthought bolted on later.
Aligned to SOC 2, NIST AI RMF, and ISO 42001 practices — applied without the overhead or slowdown.
08 — Why Devantas
Why do businesses pick Devantas for AI & automation?
Because they get senior AI leadership without a full-time hire, a business case before any build, and automation their team actually uses. Devantas works in plain English with weekly check-ins, and grounds every engagement in security and governance from the start.
- Experience, fractionallySenior AI leaders at a fraction of a full-time hire.
- Business case and ROI firstStarts with the return. If it isn't there, we say so.
- Automation that sticksFrom first pilot to automation your team actually uses.
- Easy to work withPlain English, weekly check-ins, a team beside yours.
- Grounded in security and governanceSOC 2, NIST AI RMF, ISO 42001 — without the slowdown.
09 — FAQ
AI & automation questions, answered.
What does Devantas automate first?
The repetitive, high-volume work your team already sees: document intake and extraction, reconciliation, reporting, and back-office workflows. We start where the hours are most concentrated and the risk is lowest, prove the return on that one workflow, then decide with you what comes next.
How do you prove the return before building?
The assessment measures how long a workflow takes today, how often it runs, and what its errors cost. That becomes a business case with a cost range and an expected return. If the return isn't there, we say so before you spend a dollar building.
Will our data be used to train AI models?
No. Every engagement starts with a written data-handling decision: which vendors touch your data, what their retention terms are, and where your data can and cannot go. Nothing goes to a model without that answer on paper.
How long until something is live?
Assessment engagements typically start within two weeks of a signed agreement. Once we build, a small senior team ships working automation every two weeks, so you see it running in your environment before you approve the next step.
What does a fractional engagement cost compared to hiring?
A fraction of building an in-house AI team. Devantas works on a monthly retainer priced by the hours you need — Advisor (20), Operator (30), or Builder (40) — or as a scoped project build. Every engagement starts with an assessment you own outright.
Do you work with businesses outside Omaha?
Yes. Devantas is based in Omaha, Nebraska, and works with companies across the United States. Most automation work is delivered remotely, with on-site visits for assessments, kickoffs, and quarterly planning.
Who owns what you build?
You do. Source code, documentation, infrastructure configuration, and credentials are yours, in your repositories, from the first commit. There is no proprietary runtime you have to keep paying us to use.
What security and governance standards do you follow?
Our work is aligned to SOC 2, NIST AI RMF, and ISO 42001 practices — applied without the overhead or slowdown. That means documented data handling, role-based access, acceptable-use policy, and audit trails built into the automation from the start.
Start with one session
Bring us one workflow.
We'll tell you what it's worth automating — and what it isn't.
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