Too many ideas, no order
Every team has an AI idea, and nobody has ranked them by value, effort and risk.
AI Consulting
AI consulting services that end in working AI, not a slide deck
We help you find the AI use cases that will pay off, check that your data and systems are ready, and plan the build. Then the same team builds the first one. We built six AI agents and AI business software of our own, and a document AI platform for a client, before advising anyone else.
- A fixed price for each stage
- Stop after any stage, keep everything we wrote
- Consultants who also build
Engineering team in Jaipur, India. Working with businesses in the US, UK, Europe, UAE, Australia and India.
Where most businesses get stuck with AI
A pilot that never shipped
A demo worked, but it never reached real customers or connected to your systems.
Unsure what your data can support
You don't know whether your data is clean, complete or allowed to leave your systems.
No clear cost or owner
Nobody can say what an AI tool will cost to run each month, or who looks after it once it is live.
Our AI consulting fixes all four in one engagement, and ends with a plan your team, or ours, can build from.
AI consulting services, from first idea to first pilot
AI readiness assessment
A review of your strategy, data, systems, people, security and costs, with a score for each area and the gaps to close first.
What the assessment checksUse-case discovery and prioritisation
Workshops with the teams that do the work, then every idea ranked by value, effort and risk on one impact-versus-effort grid.
AI strategy and roadmap
A 12-month plan with a business case for each use case: what it saves or earns, what it costs to build and run, and how success is measured.
Build, buy or extend
Honest advice on whether an off-the-shelf tool, a feature in software you already own, or a custom build fits, including model and vendor choice.
Proof of concept and pilot
We build the first use case and run it with your team on real data, so the roadmap is tested before you commit more budget.
Explore AI agent developmentAI governance and risk
Data flows, access, human review points and model monitoring, mapped to GDPR, UK GDPR, India's DPDP Act and, where it applies, the EU AI Act.
What our AI readiness assessment checks
Six areas decide whether an AI project ships and keeps working. We score each one and tell you what to fix first.
Strategy and use cases
Which business goals AI should serve, which processes are candidates, and who owns each one.
Data
Where the data lives, how clean and complete it is, and whether you are allowed to use it with an AI model.
Systems and integrations
Which systems an AI tool must read from or write to, such as your CRM, ERP, helpdesk, phone system or WhatsApp Business account, and how open their APIs are.
People and process
Who will use the tool, where a person must check the output, and what training the team needs.
Security and compliance
Personal and sensitive data, where it may be processed, retention, audit needs and the regulations that apply in each country you serve.
Costs and value
What each use case costs to build and to run per month, including model usage, and the saving or revenue it has to deliver to be worth it.
How our AI consulting engagements run
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Discover
Short interviews and workshops with leadership and the teams that do the work. We map the processes, the systems and the pain points.
You get: a long list of candidate use cases.
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Assess
We review your data, systems, security and costs against the six readiness areas.
You get: a readiness scorecard and the gaps to close.
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Prioritise
Every use case is ranked by value, effort and risk, and the top ones get a business case and a build-or-buy recommendation.
You get: a roadmap with costs and success measures.
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Prove
We build the first use case as a pilot on your real data and systems, run it with your team and measure it against the business case.
You get: a working pilot and a go or no-go decision backed by numbers.
Each stage has its own fixed price, and you can stop after any of them and keep everything we wrote.
What you get at the end of the assessment
Readiness scorecard
A score for each of the six areas, with the evidence behind it.
Ranked use-case list
Every idea placed on an impact-versus-effort grid, with the top three to five described in detail.
Business case per use case
Expected saving or revenue, build cost, monthly running cost including model usage, and the measure that proves it worked.
Target architecture
How each AI tool connects to your systems, which models it uses and where your data is processed.
Build-or-buy recommendation
Named tools where buying is better, and a scoped build where it is not.
Governance checklist
Data handling, human review points, access rules, monitoring and the regulations that apply.
Pilot plan
Scope, timeline, team, success measures and the exit criteria for the first use case.
AI consultants who also build what they recommend
| Strategy-only consultancy | Prilient Our approach | |
|---|---|---|
| What you get | A report and a slide deck | A roadmap and a working pilot |
| Cost estimates | Based on benchmarks | Based on systems we have built and run |
| Who builds it | Handed to another vendor | The same team, or yours if you prefer |
| Model and tool advice | Often tied to partner vendors | Chosen per use case |
| Proof before scaling | Rarely included | A pilot on your real data is the last stage |
| After launch | Engagement ends | Monitoring and support if you want it |
Ways to work with us
Discovery workshop
For teams that want a clear starting point fast. One focused workshop plus a short written summary of the best three use cases.
Readiness assessment and roadmap
For businesses planning AI across several teams. The full six-area assessment, ranked use cases, business cases and a 12-month roadmap.
Pilot
For a use case that is already chosen. We build it on your systems, run it with your team and measure it.
Priced per use case after a scoping call.
Fractional AI lead
For companies without an in-house AI lead. A senior Prilient engineer joins your planning, vendor calls and reviews for a set number of days each month.
Length: monthly
Need AI engineers inside your own team instead? AI engineers inside your own team
Our advice comes from AI we build and run ourselves
Before advising anyone, we built AI into our own products. That is where our cost estimates, risk checks and "start here" advice come from.
Own product · AI agents
Prilient AI Agents
Six AI agents (Receptionist, Customer Support, WhatsApp Lead Generation, Appointment Setter, Debt Collection and HR Interview Screening) that hand conversations to each other.
See Prilient AI Agents
Client project · Document AI
DataSwitch
An AI document extraction platform we built for a client, which turns invoices, forms and statements into structured data.
See our document AI
Own product · AI business software
VyapaarSense
AI business management software for SMBs, with document AI, bank reconciliation and cash-flow forecasts alongside billing, GST, inventory and payroll.
See VyapaarSenseAI use cases that usually pay back first
Answer and route every call
An AI voice agent answers, books and transfers calls around the clock.
AI voice agentsQualify leads on WhatsApp
A WhatsApp AI chatbot replies in seconds, asks your qualifying questions and books the meeting.
WhatsApp AI chatbotsStop retyping documents
Document AI reads invoices, statements and forms into your systems.
Document AIAnswer staff and customer questions
A generative AI assistant answers from your own documents and cites the source.
Generative AI developmentAutomate the steps in between
AI workflow automation moves data and approvals between your tools.
AI workflow automationCover the front desk in healthcare
An AI receptionist for clinics and dental practices answers calls and books patients.
AI for clinics and dental practicesForecast demand and cash flow
AI analytics forecasts sales, demand and cash flow and flags risks early.
AI analyticsResponsible AI is part of every engagement, not an extra
- We sign an NDA before discovery, and your documents stay in the tools you choose for sharing
- Your data is never used to train public AI models
- Every use case gets a data map: what it touches, where it is processed and who can see it
- Human review points are designed in wherever an AI output affects a customer, a payment or a hire
Questions businesses ask about AI consulting
What do AI consulting services include?
AI consulting helps you decide where AI will pay off and how to get it running safely. Our engagements cover an AI readiness assessment, use-case discovery and prioritisation, a roadmap with a business case for each use case, build-or-buy advice on models and tools, a governance and risk review, and a pilot on the use case most likely to pay back first.
What is an AI readiness assessment?
An AI readiness assessment checks whether your business can use AI well today. We review six areas: strategy and use cases, data, systems and integrations, people and processes, security and compliance, and costs. You get a scorecard for each area, the gaps to close first and a shortlist of use cases you can start now.
How much does AI consulting cost?
It depends on scope. A discovery workshop is the smallest step, a readiness assessment with a roadmap is a fixed-scope project, and a pilot is priced on the use case and the systems it connects to. We quote a fixed price for each stage before it starts, so you can stop after any stage.
How long does an AI strategy engagement take?
A discovery workshop takes a few days including preparation. A readiness assessment and roadmap usually takes a few weeks, depending on how many teams and systems are involved. A pilot on one use case follows, and we agree its length and success measures before we start.
Do you only advise, or do you also build?
We do both. The same engineers who assess your use cases build the AI agents, voice agents, WhatsApp chatbots, document AI and generative AI applications that come out of the roadmap. You can also take our roadmap to your own team or another vendor; it is written so anyone can build from it.
Which AI use cases should a business start with?
Start with work that is frequent, rules-based and already measured, where a mistake is easy to catch. Common first projects are answering and routing calls and chats, qualifying leads on WhatsApp, booking appointments, extracting data from invoices and forms, and answering staff questions from internal documents. We rank your candidates by value, effort and risk before recommending one.
How do you handle data privacy and AI regulation?
Every engagement includes a governance review: what data each use case touches, where it is processed, who can see it and how outputs are checked by people. Your data is never used to train public AI models.
Do you work with companies outside India?
Yes. Our engineering team is in Jaipur, India, and we work with businesses in the US, UK, Europe, the UAE, Australia and India. Workshops run on video calls in your time zone, and our working hours overlap with the UK, Europe and the Gulf.
Find out which AI project to start first
Tell us what your teams spend most of their time on. In a 30-minute call we will point out where AI could help, what it would take, and whether it is worth doing now.