Agentic AI automation you can put to work two ways: inside your own operations, and as a new line item you sell into your existing client base — without hiring engineers or standing up an AI practice from scratch.
AI DATA READINESS
AI CASES DISCOVERY
AGENTS LEARNING
ROI-first Agentic AI
Vetted tech partner VS in-house AI team
Building agentic AI in-house means a slow hiring search, an unproven first build, and months before you can put it in front of anyone — your own team or a client.
Partnering with a team that already ships this work means you can have a working AI agent running on a real workflow in weeks, and a defined path to offer it to your clients once it's proven.
FAST TRACK AI ADOPTION
For tech founders and executives the pressure is on to adopt AI and integrate it seamlessly to stay ahead of the curve.
But let's face it, the road to AI adoption can often seem like a bumpy one.
We are on a mission to integrate AI smoothly with your existing systems, so you don't have to rip and replace your entire infrastructure or migrate to another cloud platform.
That’s how we grant 3-5x faster time-to-market for new capabilities.
No cookie-cutting solutions
Whether you're looking to automate your proprietary internal tool or enhance your customers platform, we've got you covered. We know how to get your data ready for AI.
With us you can get 60-85% time reduction on each manual operation we automate.
Seamless plugging with your stack
Modus Soft brings the expertise to you at a fraction of the cost. Our delivery cost is built to sit below typical US developer rates — there's room for your markup, whether you're using this internally or reselling it.
Affordable expertise in short time
What "agentic AI" actually means
(and why it's not a chatbot)
A chatbot generates a text response and stops there.
An agentic AI system takes a goal, breaks it into steps, calls the tools and APIs it needs (a CRM, a ticketing system, an internal database), checks its own output, and completes the task.
If your mental model of "AI for business" is still a chat window, agentic AI is the difference between an assistant that can describe a task and one that can actually do it.
This is what it looks like in practice, not in theory: for one client, an agent reads an uploaded lease document, pulls out the key terms (rent, renewal date, security deposit) and files them automatically.
No one is retyping numbers from a PDF into a spreadsheet, and no one is waiting on a chatbot to describe what the lease says instead of acting on it.
How we decide where AI belongs — and where it doesn't
Modus Soft's agentic AI work is outcome-focused: we measure business results, not demo polish.
Our agents are built to be effective, ethical, efficient, and safe — and that shows up as three concrete rules.
We use AI only where it outperforms static code
If a deterministic script or existing automation handles a step more reliably and more cheaply, that's what runs — not an AI agent for its own sake.
We explicitly prohibit AI where token cost is unacceptable
Some steps in a workflow are worth a language model's judgment; others aren't worth the risk or the spend, and we say so rather than automate everything.
Every implementation ships with performance monitoring
Agents improve over time as they learn from your own production data — this isn't a one-time build we walk away from.
How an engagement actually unfolds
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AI Readiness Assessment
A use-case-specific assessment of whether your data, infrastructure, and governance can support a planned AI deployment.
Delivers a "to be" recommendation with gap analysis and action plan
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AI Adoption Sprint
Closes the 2-3 highest-priority gaps identified by the readiness assessment (or by direct consultation).
Hands-on implementation management through execution.
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Practical AI Workshops
Secures your ROI and gets you profits from the Agents delivered during the sprint.
We actively work with user`s feedback and help discover more real-world AI use cases.
AI
{
Cloud: AWS | GCP | Azure
} --
React
\\
Node.js
--
Python
--//
AI { Cloud: AWS | GCP | Azure } -- React \\ Node.js -- Python --//
PROPTECH AI PLATFORM
LeaseCEO is an AI-powered lease management platform built for real estate agents, brokerages, landlords, and tenants.
We partnered with LeaseCEO to build an AI-powered lease management platform for real estate professionals. The platform reads uploaded lease documents with AI, automatically extracting key mertics and connects every party in a deal - tenants, landlords, brokers, property managers, and guarantors - into one secure, shared network.
The result is a system where nothing gets missed, renewals are never a surprise, and every closed deal becomes a lasting professional relationship rather than a one-time transaction.
Client
LeaseCEO
Year
2026 and ongoing
Team Size
1 FTE
Tech Stack
Claude Sonnet, pgVector, React
Agentic AI FAQs
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Yes — that's the model. You keep the client relationship and the billing relationship; Modus Soft handles the engineering, delivery, and ongoing support of the AI system itself, under a referral, white-label, or co-delivery agreement
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In a referral, you introduce the client and earn a commission while we contract and bill directly. In a resale/white-label arrangement, you contract and bill the client yourself, set your own markup, and we deliver behind your brand under a partner agreement.
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There's no license fee to add the capability — you pay for delivery per engagement, priced below typical US developer rates so there's margin for your own pricing on top. Exact cost depends on workflow complexity and whether it needs a hybrid build combining AI with conventional automation; the AI Readiness Assessment scopes this before anything is quoted in full.
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A chatbot generates a text response and stops there. Agentic AI takes a goal, breaks it into steps, calls the tools and systems it needs, and completes the task with human review at the points that matter — it acts, not just answers.
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The AI Readiness Assessment takes 2-3 weeks, the AI Adoption Sprint that follows runs 6-8 weeks, and ongoing AI Agents Maintenance continues for 6+ months after that to protect ROI and tune agents to real-world use. Reselling into a broader client base after that depends on your own sales cycle and any client-side procurement or security review.
TESTIMONIALS
Tanuj Chatterjee
CEO Super Unlimited Inc |
ex CTO Rakuten
“For the past four-plus years, and in a previous company as well, Modus Soft has been a reliable and valuable partner. We've challenged them with complex projects, tight deadlines, and the demands of a global operation, and they have consistently delivered beyond expectations.
More than just a vendor, they feel like an extended part of our team, fully invested in our success.
To the entire Modus Soft team – your dedication and expertise are truly appreciated. Thank you for your continued partnership and for being an integral part of what we do.”
Jenny Reznik
CEO at LeaseCEO Inc
“Working with Modus Soft on LeaseCEO has been a genuinely collaborative experience.
What sets them apart is how they translate real-world business requirements into practical AI architecture, they don't just build what you ask for, they ask the right questions to understand what you actually need.
Every challenge I brought to the table was met with a thoughtful solution, not a workaround. For a product where AI isn't just a feature but the core of the platform, that kind of engineering partnership is rare.
I trust them completely with the build.”
LET’S CHAT
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Ready to add AI to your business?
Tell us about one workflow you'd want to automate first.
We'll scope it with an AI Readiness Assessment, tell you what it costs, and tell you honestly if agentic AI is the wrong tool.