Most companies buy AI tools. We integrate them into your business.
Ferula audits your AI spend, then integrates AI into the systems you already run — CRM, accounting, tickets, docs — so it acts on your real data instead of sitting in a chat window.
Source — MIT NANDA, “The GenAI Divide” (2025).
AI access isn't the problem anymore. Integration is.
Nine in ten small businesses already use AI. Almost none can point to what it changed. The gap is integration — and four symptoms give it away.
Tool sprawl & AI fatigue
ChatGPT here, Copilot there, a coding tool, three SaaS "AI features." Fragmented workflows, rising cost, no clear return.
The cost / performance fog
Per-seat, credit pools, per-token — the pricing models aren't even comparable, and they change every few weeks. Nobody can tell what to pay for.
Stalled pilots
AI sits in a chat window, disconnected from the data and systems where work actually happens. Without integration, it never crosses from neat demo to daily use.
The talent gap
You can't justify a full-time AI engineer, and freelancers leave one-off projects behind — no continuity, no governance, no reusable assets.
of enterprise GenAI pilots delivered no measurable bottom-line impact. The cause was integration, not model quality — exactly the part most teams skip.
SOURCE — MIT NANDA, "THE GENAI DIVIDE" (2025)
Two tightly linked jobs. Both fixed-scope.
We right-size what you spend, then build the integrations that connect AI to the systems where work actually happens.
Audit the AI stack & spend
A vendor-neutral review that maps where AI can actually move the P&L — and what you should (and shouldn't) be paying. Keep, cut, consolidate, or right-size every seat.
Build the connective tissue
Custom integrations and agent skills that wire AI into your real systems — so it reads, decides, and acts on live business data instead of guessing.
A three-step ladder — not open-ended consulting.
Every stage is a fixed-scope package with a defined outcome. Start small, prove value, expand only when it pays.
AI Readiness & Cost Audit
A low-risk, high-trust starting point that tells you exactly where to act.
- Map your top workflows and where AI can realistically move the needle
- Vendor-neutral stack-and-spend review: keep, cut, consolidate
- A prioritized 90-day ROI roadmap with cost, effort & payback
Agentic Build Sprint
We build the integrations that connect AI to one high-ROI workflow, end to end.
- 1-3 custom integrations and/or agent skills
- Connected to your actual CRM, accounting or ticketing data
- A measurable before / after on a workflow you choose
Managed Agentic Operations
We keep it running, governed, and cost-aware as models and prices shift.
- Ongoing optimization and new skills as needs emerge
- AI cost & model monitoring so spend tracks value
- Governance and "shadow AI" controls, plus support
Fixed scope. Fixed price. Defined outcomes.
Indicative packages — we'll confirm scope against your systems in the audit. No hourly billing, no surprises.
Find out what your stack should be doing — and what it should cost.
- Workflow & opportunity map
- Stack-and-spend right-sizing
- 90-day ROI roadmap
Custom integrations that connect AI to a real workflow end to end.
- 1-3 integrations / agent skills
- Wired into your live systems
- Measurable before / after
- Team enablement & handoff
We run, govern and improve it as the landscape moves.
- Optimization & new skills
- Cost & model monitoring
- Governance & support
Enterprise-grade integration at SMB speed.
Big integrators price for the enterprise. Freelancers leave no continuity. We own the middle nobody else does.
Vendor-neutral
We recommend what fits the job and the budget — including spending less than you do today.
Fixed scope & price
Productized packages with defined outcomes. Your risk stays low; delivery stays repeatable.
Governed & secure
We control which agents touch which data, with shadow-AI controls built in from day one.
Built to compound
Every sprint adds reusable assets, so the next build is faster and cheaper than the last.
Built by researchers who've shipped AI at scale.
Ferula's founders are researchers with production experience building and deploying machine-learning systems at large technology companies — including ByteDance. We've shipped the real thing inside billion-user products; now we bring that depth to teams that can't hire it full-time.
See where AI integration pays off first.
Tell us a bit about your team. We'll come back with whether an audit makes sense — usually within a day.