Clear scope, clear pricing, no surprises at invoice time
Three engagement models covering a focused build, a full enterprise platform and ongoing capacity inside your team. Every one ends with a working system, documentation and code you own. Final pricing is confirmed in writing after a free scoping call.
Three ways to work together, one standard of delivery
Pick the path that fits where you are today. Whichever one you choose, the engagement ends the same way: a working system in your cloud, documentation your team can use and code you own outright.
- RAG chatbot or n8n workflow on your data
- Hybrid retrieval, reranking and citations
- Cloud deployment and documentation
- Evaluation against ground-truth benchmarks
- 30-day post-launch support
- Multi-agent systems and LLM SaaS
- Backend, auth, multi-tenancy and analytics
- Full MLOps and LLMOps pipeline
- HIPAA, GDPR or SOC 2 architecture
- Monitoring, SLAs and quarterly reviews
- Dedicated AI engineering hours each month
- Model tuning and retrieval improvements
- Incident response and managed monitoring
- Architecture reviews and roadmap input
- Priority access to the engineer directly
What is in the price regardless of engagement size
These are not add-ons or upgrade tiers. They are the reason a system still works six months after handover.
What moves the number
Two projects described in the same sentence can differ by a factor of five in effort. These are the five variables that usually explain the gap, and the ones we probe hardest on a scoping call.
- Data readiness. Clean, accessible, well-structured sources are the single biggest cost saver. Scanned PDFs, inconsistent schemas and undocumented legacy exports add weeks.
- Number of integrations. Each system the build has to read from or write to carries its own authentication, rate limits, error handling and testing.
- Compliance requirements. HIPAA, GDPR, SOC 2 and CSRD change the architecture, not just the paperwork, and that work happens up front.
- Accuracy target. Moving from a useful system to a system that can be relied on in client-facing work is usually where the last third of the effort goes.
- Operating model. Whether your team runs the system afterwards or we do changes the shape of the engagement and the ongoing cost.
On published prices
The figures on this page are honest starting points, not quotes. A real number comes after a scoping call where we have seen the data and the constraints, and it arrives in writing with the assumptions listed.
| Engagement | Typical duration or rate | Best when |
|---|---|---|
| RAG or automation build | 2 to 4 weeks | One clear problem, one or two data sources, fast proof of value |
| Architecture review | 1 to 2 weeks | You need a decision on build versus buy before committing budget |
| Enterprise AI platform | 8 to 16 weeks | A full product with agents, APIs, dashboards and governance |
| MLOps control plane | 8 to 14 weeks | Several models already live with no registry, evaluation or drift monitoring |
| Retainer or augmentation | $4,800 to $6,000 a month | Ongoing capacity inside your team on engagements of six months or longer |
Straight answers to common questions
The questions we hear most often before an engagement begins.
What do you build?
RAG systems, AI agents, LLM SaaS products, MLOps pipelines and production machine learning infrastructure. Every engagement covers the full stack: architecture, development, deployment, documentation and post-launch support. We do not hand over notebooks or prototypes.
How long does a project take?
A focused RAG system or automation build usually takes 2 to 4 weeks. A full enterprise platform, multi-agent system or complete MLOps control plane takes 8 to 16 weeks. Delivery is agile with a working demo from sprint two onward, so you see real progress throughout.
What does it cost?
A RAG chatbot over internal documents starts from around $3,500. A full enterprise platform with agents, APIs, dashboards and cloud deployment typically runs from $15,000 to $60,000 or more. Ongoing retainers run $4,800 to $6,000 a month on engagements of six months or longer. You get a detailed estimate after a free 30-minute scoping call.
What makes the price move up or down?
Five things: how many data sources are involved, how clean and accessible that data is, whether compliance requirements such as HIPAA, GDPR or SOC 2 apply, how many systems the build has to integrate with, and whether you need us to operate it afterwards.
How does the monthly retainer work?
A retainer buys a committed block of engineering capacity each month, typically on engagements running six months or longer, at $4,800 to $6,000 a month depending on the hours committed and the response times you need. It covers model tuning, retrieval improvements, incident response, managed monitoring and architecture review, and it gives you direct access to the engineer rather than a ticket queue.
Do you offer fixed-price engagements?
For scoped builds with a clear boundary, yes. Fixed price works when the requirements are stable and the data is understood. Where discovery is open ended, a retainer or phased engagement protects both sides better than a fixed number based on guesses.
Do you work with healthcare and financial services?
Yes. We have built HIPAA-compliant clinical AI for a US hospital network, SOC 2 ready financial model governance and GDPR plus CSRD compliance systems for EU enterprises. Compliance is designed into the architecture from the first decision rather than retrofitted.
What makes a RAG system fail?
Almost every RAG failure comes from weak retrieval rather than a weak model. Poor chunking, single-vector search without reranking and no evaluation framework. We build with hybrid search, cross-encoder reranking, citation grounding and RAGAS evaluation against ground-truth benchmarks before deployment.
Do you support the system after delivery?
Yes. Every engagement includes post-launch monitoring, rapid incident response and performance reviews. For ongoing clients we offer monthly retainers covering model updates, retrieval tuning and system improvements.
Who owns the code and the infrastructure?
You do, completely. Repositories, pipelines and deployment configuration live in your accounts from the first commit. There is no licensed platform underneath and no dependency on us to keep the system running.
How do I get started?
Book a free 30-minute call, or email m.g.jillani@jillanisoftech.com with the workflow you want to improve. On the first call we listen to the use case, ask the clarifying questions that matter and give an honest read on what is feasible, how long it takes and what it costs.
Want a number for your specific project?
Bring the workflow, the data sources and the constraint. You will leave the call with a realistic range and a written follow-up rather than a proposal deck.