What our AI consulting services cover
| Service | What it answers | What you receive |
|---|---|---|
| AI strategy consulting | Where will AI create measurable value in our business, and in what order? | A ranked use-case map with effort, risk and expected return, and a build vs. buy view |
| AI readiness assessment | Are our data, systems and teams ready for the use cases we want? | Gaps in data quality, access, security and skills, with the fixes needed first |
| Generative AI consulting | How do we use large language models safely on our own data? | Model and architecture recommendation, retrieval design, evaluation plan and guardrails |
| Agentic AI consulting | Which workflows can AI agents run end to end, and where do humans stay in the loop? | Agent design, tool and system integrations, approval points and audit trails |
| Machine learning consulting | Which predictions or classifications would improve our decisions, and is our data good enough? | Model feasibility, data and feature plan, and an MLOps path to production |
| AI governance and risk | How do we control cost, accuracy, privacy and compliance? | Policies, evaluation gates, logging and monitoring you can map to your own frameworks |
| Build and deployment | Can you build it for us? | A production system in your environment, runbooks and handover to your team |
How an AI consulting engagement works
- 01
1. Consultation
A focused session with a senior AI strategist to review your goals, workflows and constraints. You leave with priority areas and a shortlist of use cases.
- 02
2. Discovery and scoping
We examine the data and systems behind the top use case, test feasibility, and agree scope, success measures and a fixed price in a statement of work.
- 03
3. Prototype on your data
A working prototype, evaluated against your own examples, typically within 3 to 5 weeks, so decisions rest on results rather than assumptions.
- 04
4. Production and handover
Hardened deployment in your cloud or data centre, with access controls, monitoring and runbooks, targeting production within about 60 days.
What AI consulting costs
| Option | Format | Price |
|---|---|---|
| Business Starter | 45-minute consultation, up to 2 use cases evaluated | $100 |
| SME and business owners | 90-minute deep-dive with a written action plan | $500 |
| Enterprise | Half-day engagement with leadership teams | $1,500 |
If you go ahead with a build within 60 days, the full consultation fee is credited against the project. Build work is priced as fixed milestones after scoping, so the cost is agreed before work starts. See the pricing page for current details.
Who we work with
We work remotely with enterprises and growing companies across the United States, the United Kingdom, the UAE, Canada, Australia and Singapore, from a team headquartered in Hyderabad. Common starting points are document-heavy back-office work, customer service, internal knowledge search, and CRM or ERP processes that still depend on manual steps.
- Financial services and capital markets: regulatory reporting, AML and KYC, research synthesis.
- Healthcare: clinical documentation, prior authorisation, revenue cycle.
- Public sector and education: citizen and student services, grant and compliance workflows.
- Technology and professional services: developer tooling, knowledge assistants, proposal and contract work.
How to choose an AI consulting partner
- Ask who builds the system. Separate strategy and delivery teams slow projects and lose context.
- Ask for a prototype on your own data before a large commitment.
- Check ownership: you should own the code, prompts, evaluation sets and any fine-tuned models.
- Check pricing structure: fixed milestones make cost predictable; open-ended time and materials does not.
- Ask how quality is measured. A good partner defines evaluation sets and success measures before building.
Frequently asked questions
What do AI consulting services include?
At Solnix, AI consulting covers strategy (which use cases to pursue and in what order), readiness assessment, generative and agentic AI architecture, governance, and the build and deployment of production systems. Most clients start with a consultation and move to a scoped build.
How much does AI consulting cost?
Solnix consultations cost $100 (45 minutes), $500 (90 minutes with a written plan) or $1,500 (half-day enterprise engagement). The fee is credited toward a build started within 60 days. Build projects are priced as fixed milestones after scoping.
How long does it take to get an AI system into production?
Our standard is a working prototype on your data within 3 to 5 weeks and a first production system within about 60 days, depending on scope, data access and approvals.
Do you work with companies outside India?
Yes. We work remotely with clients in the United States, United Kingdom, UAE, Canada, Australia, Singapore and other countries, and schedule sessions in your time zone.
What is the difference between AI strategy consulting and AI development?
AI strategy consulting decides where AI should be used and what success looks like. AI development builds and deploys the system. Solnix does both with the same team, so the strategy is grounded in what can actually be built.
Do you offer machine learning consulting?
Yes. Alongside generative AI, we advise on and build machine learning models for forecasting, scoring, anomaly detection and computer vision, including the data pipelines and MLOps needed to run them in production.
Who owns the AI system you build?
You do. All code, prompts, evaluation sets, infrastructure definitions and any fine-tuned models built during the engagement belong to the client.