Applied AI — From Pilot to Production
Biruni Applied AI helps individuals and growing businesses put AI to work where being wrong is expensive and getting it right gives you hours back. We find the tasks worth automating, build the solution, and teach you or your team to run it. Fixed prices, clear deliverables, measurable results.
01 — Services
Six engagements. No open-ended retainers.
Learn builds fluency in your people. Plan tells you what is worth doing and what it returns. Build puts the system into production.
Each engagement has a fixed price, a fixed end date, and a deliverable that your decision-makers can read. We staff senior practitioners only; the person who scopes your work is the person who builds it. Most clients start with Learn or Plan. Any door is fine.
Learn
One-to-one and small-group sessions for professionals, executives, senior specialists, and just about anyone who needs working fluency. This is not a webinar; we focus on your specific documents and needs, helping you automate a real task from your week. No prior experience needed; bring your curiosity.
Structured programmes for whole teams, in cohorts of five to twenty. Streamed by role, assessed at the end, and built on your own systems rather than generic examples, so capability lands where the work actually happens.
Plan
A four-week diagnostic across data, infrastructure, governance, and team capability. You get a scored baseline, a ranked list of what is blocking you, and a candid view of which ambitions are eighteen months out. Often the cheapest engagement a board ever approves.
We inventory every candidate use case across your operating units, score them on value, feasibility, and regulatory exposure, then sequence the survivors into a costed twelve-month roadmap. You leave with a plan finance will fund, not a slide deck.
Build
Document-heavy, rules-heavy processes are where AI pays back fastest. We map the real workflow — including the exceptions nobody documented — and rebuild it as a hybrid of deterministic tooling and language models, with a human in the loop where the risk warrants one.
Retrieval and tool-using agents that operate against your systems of record, not a demo dataset. Every agent ships with an evaluation suite, guardrails, observability, and a rollback path — the parts that determine whether it survives contact with real users.
All prices are in USD.
Where to start
02 — Work
Analysts spent two to three hours digging through PDFs for a single data point. The answer, with its source, now arrives in under 30 seconds.
Read the caseTo find a cited data point, down from 2–3 hours
From a pilot group of 4 analysts to the broader research team, by word of mouth
Customers waited 20 minutes on hold to ask where their order was. A read-only AI agent now resolves 70% of common questions in seconds, with no person involved.
Read the caseOf common questions resolved with no person involved
To an answer, instead of 20 minutes on hold
03 — About
Ahmed Mapara founded Biruni Applied AI in Toronto. He is a senior product manager who has taken RAG and LLM systems into production and carried portfolios worth more than $20M across CIRO, PwC, and TD Bank Financial Group. That includes trading systems where downtime moves money and regulatory platforms where auditors read the requirements line by line.
“I build products where being wrong is expensive. AI systems where one bad answer erodes user trust on day one. That’s been my lane for 20+ years, and the discipline transfers everywhere.”
That discipline is what Biruni Applied AI sells. Every engagement is led by the same person who has had to answer for a system before a regulator, an auditor, and a trading desk, through advisory work and through the workshops and bootcamps that leave your own team able to run it.
How the work gets delivered
All capabilities are genuinely delivered either directly, through the founder-principal and senior practitioners, or through partners in a vetted specialist network. That network covers the engineering, data engineering, security, and production support the work requires. Our practitioners have delivered inside financial services (insurance and capital markets), regulatory bodies, Big Four consulting, statewide infrastructure, public sector institutions, and government agencies.
Every specialist works under our contract, our NDA, and our insurance. You have one counterparty: Biruni Applied AI.
MBA | BSc | Certified Scrum Product Owner (CSPO®) | Certified ScrumMaster (CSM®) | Google Generative AI Leader | Google Cloud Digital Leader | Claude (AI) Certified Architect — Candidate
The name
Named for al-Biruni, the eleventh-century polymath who calculated the Earth’s circumference from a single mountain; one careful measurement, correctly reasoned. The method here is the same: understand the problem, test the claims, build what works.
04 — Insights
Using AI to draft one email or summarise one call saves minutes. The larger gains come from redesigning the whole chain of work, so the output of one step becomes the input to the next without someone copying and pasting in between.
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The safest first AI project is an internal one: invoices, reconciliations, policy checks. It is also the right place to settle which tools are approved, what data can go where, and who answers when something goes wrong.
Read more
Token prices keep falling and AI bills keep rising. Agents do far more work per task than a chatbot, and most budgets were built for the chatbot. Here is how to price an agent before it ships.
Read more05 — FAQ
Biruni Applied AI delivers six engagements: a scored readiness baseline covering data, infrastructure, governance, and team capability; individual AI workshops open to anyone who needs working fluency; corporate AI training and bootcamps for whole functions; a prioritised AI roadmap tied to financial outcomes; automated production workflows; and custom AI agents deployed inside your own stack. Every engagement is fixed-scope with named deliverables.
Yes. Individual workshops are open to anyone who wants working fluency with AI: professionals, managers, specialists, and people changing roles. No company sponsor or technical background is needed. A 30-minute call sets the topic, and the 75- to 90-minute session is built around your own documents and work, one-to-one or with up to five colleagues.
Individual workshops run 75 to 90 minutes. Corporate training and bootcamps run half a day to two days. A readiness audit runs four weeks, strategy and roadmapping four to six. Automation runs four to twelve weeks and custom agent builds three to twelve, depending on integration depth, with a working system in production inside the first six weeks.
Yes. Most of the companies we work with begin with no machine learning team. The readiness audit exists for exactly that case: it establishes what is feasible now, what needs data or infrastructure work first, and what should be bought rather than built.
You do. All code, prompts, evaluation suites, and documentation are delivered into your repositories and cloud accounts. Biruni Applied AI retains no licence and charges no ongoing platform fee.
A workshop is one principal and one to six people for a single 75- to 90-minute session, built around the specific work in front of them. A bootcamp is a half-day to two-day programme for a whole team of five to twenty people, streamed by role, with hands-on labs, assessment, and an internal champion track so the capability survives after we leave.
Both. Individual workshops run equally well over video. Bootcamps are usually hybrid: on-site kickoff and closing sessions, remote labs in between, with cohorts split across time zones where needed. All materials, recordings, and lab environments are handed over to you afterwards.
No. Programmes are streamed by role: an executive track covering judgement, risk, and where to invest; a practitioner track for analysts and operators working hands-on with their own tools; and an engineering track for teams who will build and maintain systems. Nobody needs to write code to get value from the first two.
Regulated industries (financial services, healthcare operations), manufacturing, retail, professional services, and research — sectors where workflows are document-heavy and expensive to staff.
06 — Booking
No sales engineer, no discovery deck. Bring the workflow you think is broken and we will tell you on the call whether AI is the right instrument for it — including when the answer is no.
07 — Contact
Every message is read by a principal, not an inbox. If we are not the right firm for the work, we will say so and point you somewhere better.
A principal reads your message and replies. No routing, no qualification call with someone who cannot answer questions.
We talk through the workflow or the team you want trained, and what you have tried already.
If the work makes sense, you get duration, price, and deliverables in writing. If it does not, we tell you that instead.