Real Business AI Starts with Small Language Models
- Rakhee Das
- Jun 28
- 3 min read

Enterprise leaders today are understandably wary of the “AI” buzz. Chatbots that hallucinate, image generators that impress but don’t help operations, and endless consulting projects that never quite deliver. At our firm, we believe AI should be a tool — not a mystery, a mascot, or a management headache.
That’s why we’ve built one of our business lines around Small Language Models (SLMs) — precise, efficient AI engines that solve real business problems, particularly for CFOs and COOs, without the risk or price tag of large-scale generative models.
Why SLMs Are the Smart CFO’s AI Tool
LLMs like ChatGPT are incredible for drafting emails or summarizing PDFs, but they come with serious baggage:
High per-query costs
Latency
Inconsistent answers
And most dangerously — hallucinations
SLMs are different. They’re deterministic (same input = same output), cost very little to run, and require no cloud exposure of your sensitive data. These models are engineered to understand and automate structured, repeatable workflows — exactly the kind of tasks that dominate finance and operations teams.
If Your Team Lives in Excel, SLMs Will Change Everything
Many CFO and COO teams spend hundreds of hours a month on:
Cash flow forecasts across dozens of tabs
Manual lookups between spreadsheets
Copy/paste reporting between systems
Reconciling POs, invoices, and payments
SLMs automate these workflows with precision — faster, cheaper, and more securely than macros, offshoring, or manual QA ever could. It’s not about replacing staff — it’s about giving them superpowers.
You Don’t Need a New ERP — You Need Better Glue
When executives face growing operational complexity, the instinct is often to rip and replace. “Let’s get a new ERP,” they say — and suddenly you’re in for 18 months of rollout, re-training, vendor lock-in, and a price tag that eats the ROI.
But in most companies, the problem isn’t your systems. It’s the gaps between them — the manual work, duplicate entry, and disconnected reporting that emerges when tools don’t talk to each other.
That’s where SLMs shine. Our small language models don’t replace your systems. They bridge them.
By reading structured data from Excel, CSVs, SQL, and other formats, an SLM can:
Join vendor data from your AP tool with payment data from your bank exports
Consolidate sales reports from multiple divisions into a unified snapshot
Normalize naming conventions across spreadsheets to produce clean, automated dashboards
The result? You get end-to-end reporting and analysis across systems you already own — without a rip-and-replace project or expensive integration work.
In short, you don’t need a bigger system. You need a smarter layer that pulls it all together.
2–4 Week Cycles. Day 1 Results. No Consulting Zombies.
Too many AI “engagements” start with a bang and end in a backlog. The consultants arrive with promises, build a roadmap, interview your team for months, and eventually hand you a slide deck full of things to maybe build later.
That’s not how we work.
Our approach is built for speed, clarity, and outcomes:
Every project is pre-scoped — we define exactly what’s getting automated before work starts
We show up with a working prototype on Day 1 — something your team can touch, test, and improve
We deliver in 2 to 4 weeks — always
And then, we leave
No multi-phase roadmaps. No retainer fees. No long-term embeds who "become part of the team." We're not trying to turn your company into our career. We're here to solve a specific problem, hand you the keys, and move on.
If there’s more to do, great — we’ll scope the next project. But each engagement is its own success. No zombie consultants. No loose ends. Just clean exits and working tools.
That’s how we scale to 10,000 successful deliveries — one fast, final result at a time.
Business AI That’s Built to Work, Not to Wow
If your finance or operations team is drowning in spreadsheets, jumping between disconnected systems, or just trying to close the books faster and more accurately, it’s time to stop looking at flashy AI demos and start getting things done.
Our small language model tools are invisible to your customers, transformative to your workflows, and — most importantly — real.
Want to see what business-grade AI actually looks like?
Let’s automate something that matters.



Comments