AI Consulting

AI that works
in your business.
Not in a demo.

Practical AI consulting for Indian SMEs, eCommerce brands, and growing businesses - workflow audit, AI readiness assessment, tool selection, proof-of-concept development, and implementation roadmap. We cut through the hype and identify exactly where AI creates measurable time savings, cost reduction, or revenue impact in your specific business context.

Practical
No hype, real outcomes
Workflow
First, tools second
ROI
Measured before commitment
Workflow first
Problems before tools
ROI before build
Business case modelled first
POC delivered
Working prototype, not slides
No lock-in
Tool-agnostic advice
Why AI Initiatives Fail

Six reasons businesses spend on AI and see no return.

Most failed AI initiatives are not technology failures - they are strategy failures. The wrong problem, the wrong tool, or the wrong team trying to use it.

Buying tools before defining problems

A ChatGPT Enterprise licence, a Midjourney subscription, and a Notion AI add-on - but no clear problem any of them solve. AI tools are means, not ends. Starting with a tool and working backwards to find a use case is the most common and most expensive AI mistake.

AI on top of broken processes

Automating a bad process makes it fail faster. If your customer data is scattered across four spreadsheets and two WhatsApp groups, an AI layer on top will inherit every inconsistency. The process has to work before AI can improve it.

No team adoption plan

The tool is deployed, the team does not use it, and it quietly dies. AI adoption fails when it is imposed rather than integrated. People need to understand why it helps them - not just that the founder read about it on LinkedIn.

Chasing AGI when you need automation

Most businesses that say they want "AI" actually need structured automation - a Zapier flow, a WhatsApp API integration, or a simple rule-based routing system. Reaching for LLMs when a deterministic tool would be cheaper, faster, and more reliable is a common and expensive mismatch.

Ignoring data privacy and compliance

Pasting customer PII into public LLMs, training models on proprietary data without legal review, or deploying AI-generated content without a human-in-the-loop check. India's DPDP Act and global data regulations create real liability that most AI enthusiasts ignore until it is a problem.

No baseline to measure improvement against

If you do not know how long a task takes today, you cannot prove AI made it faster. Most AI initiatives fail to define a measurable before-state - which means the ROI case can never be made and the initiative eventually loses budget.

What We Do

Six AI consulting capabilities - from strategy to working prototype.

Workflow Audit & Opportunity Mapping

We map every repetitive, time-consuming process across your business - customer support, content creation, data entry, reporting, onboarding, inventory management. Each is assessed for AI suitability, current time cost, and estimated impact. Output: a prioritised opportunity map with time savings and ROI estimates before any tool is touched.

Starting point for all engagements

AI Readiness Assessment

Before recommending any AI implementation, we assess your organisation's readiness - data quality and accessibility, process documentation, team digital literacy, existing tool stack, and budget. Readiness score produced across five dimensions. Gaps identified and addressed before implementation begins, so the implementation actually succeeds.

Gaps found before you spend

Tool Selection & Stack Design

We recommend the right tools for your specific use cases - from GPT-4 API integrations to n8n automations, Make (Integromat), Zapier, Claude API, Gemini, ElevenLabs, Whisper, and open-source alternatives. We are tool-agnostic - the recommendation is driven by your budget, team capability, and use case, not by who pays referral fees.

Tool-agnostic, outcome-driven

Proof of Concept (POC) Development

We build a working prototype of the highest-priority AI use case - a real working system, not a slide deck. Customer support triage bot, automated product description generator, inventory demand forecast, or AI-powered lead scoring. The POC is tested against your real data so you can see actual performance before committing to full implementation.

Working prototype, not slides

Implementation Roadmap & Change Management

A phased implementation plan - what gets built first, what gets built later, and what gets deprioritised entirely. Includes team training plan, data preparation requirements, integration dependencies, and success metrics for each phase. Change management is built in - how to bring the team along, not just how to deploy the technology.

Phased, team-inclusive plan

AI Integration into Existing Systems

We integrate AI capabilities into your existing website, CRM, eCommerce store, or custom platform - AI-powered search, product recommendation, dynamic content, automated reporting, or AI-assisted customer service - using APIs (OpenAI, Anthropic, Google) and no-code/low-code automation (n8n, Make, Zapier). Shopify and WooCommerce integrations handled in-house.

Into your existing stack
Tools We Work With

Tool-agnostic. We know the landscape.

OpenAI GPT-4 / o1 Anthropic Claude API Google Gemini n8n Automation Make (Integromat) Zapier ElevenLabs TTS Whisper ASR LangChain / LlamaIndex Pinecone / Qdrant Hugging Face Flowise / Botpress Midjourney / FLUX Perplexity API Open-source LLMs (Llama, Mistral)
Outcomes

What these AI implementations delivered.

Hours saved, costs reduced, and timelines compressed - measured against the baseline established before implementation.

GrowthSystems
Performance agency, Jaipur
14 hrs
Saved per week on copy + reports
Zero
Manual report compilation

Ad copy generation went from an 8-hour weekly task to a 2-hour review-and-refine process. Client performance reports now generated automatically every Monday morning - the account manager spends 20 minutes reviewing instead of 6 hours compiling. 14 hours per week freed for higher-value client strategy work.

- GrowthSystems, Jaipur
Impulsebyte Internal
Agency operations
-60%
Time on proposal drafting
Structured
Briefs from call recordings

Client discovery call recordings transcribed via Whisper and structured into project briefs automatically - 45-minute calls become a structured 5-page brief in under 5 minutes. Proposal drafting time reduced by 60% using Claude API with project context. Shopify product descriptions for high-SKU clients now generated in batches rather than written manually.

- Impulsebyte, Jaipur
NIJ by Indiloom
Ethnic wear D2C
4 days
vs 3-4 weeks manual
400 SKUs
All SEO-optimised

A manual copywriter would have taken 3-4 weeks and cost Rs 60,000+ for 400 product descriptions. The Claude API pipeline with structured product attributes as input completed all 400 in 4 days including human review rounds - consistent brand voice, SEO-optimised meta descriptions, and correct product details throughout.

- NIJ by Indiloom
Implementation Specs

What was built and which tools were used.

Client Use case Tools used What it replaced Outcome
GrowthSystems Ad copy generation + automated reporting GPT-4 API, n8n, Meta Ads API, GA4 Manual weekly reporting Reports generated on a schedule
Impulsebyte Proposal drafting, brief generation, product copy Claude API, Whisper, n8n Hand-written first drafts Structured call briefs
NIJ by Indiloom Batch product description generation (400 SKUs) Claude API, structured prompts Copywriting 400 SKUs by hand SEO copy, brand voice
Multiple clients AI chatbot POC, workflow audit, tool selection Claude API, Flowise, n8n, Make Variable by scope Roadmap + POC delivered
How We Work

Workflow first. Tools second. Build only what makes sense.

1
Discovery & workflow audit

2-3 hour structured interview with your operations lead and team leads. Every repetitive process mapped, timed, and costed. Data assets inventoried. Current tool stack documented. No AI recommendations yet - just honest mapping.

2
Readiness assessment & opportunity report

Readiness scored across five dimensions. Opportunity map produced - each use case ranked by estimated ROI and implementation complexity. Business case model showing payback period and annual saving for the top 3 opportunities. Delivered in a shareable document, not a locked PDF.

3
POC on the highest-priority use case

We build a working prototype of the single highest-ROI opportunity. Real tools, real data (or representative sample), real performance. 2-4 week build. You see actual results before committing to full implementation budget.

4
Implementation & handover

Full build, integration, and team training for approved use cases. Documentation of prompts, workflows, and maintenance procedures. Ongoing monitoring optional on retainer. We measure the before-and-after so the ROI case is documented.

Pricing

Fixed-fee consulting and implementation.

Start with the audit - it tells you whether AI is even the right investment before you spend on implementation.

AI Audit & Opportunity Report
Rs 18K - 35K
1-2 weeks

Workflow audit, readiness assessment across 5 dimensions, opportunity map with ROI estimates, tool recommendation report. Delivered as a working document your team can act on independently.

Most Common Starting Point
Audit + POC Development
Rs 60K - 1.5L
4-6 weeks

Full audit + working prototype for the highest-priority use case. Tested against real data. Includes implementation roadmap for remaining opportunities. Most clients see the POC working before deciding on full implementation.

Full Implementation
Rs 1.5L+
6-16 weeks

End-to-end build and integration of approved AI use cases - into your website, CRM, eCommerce store, or internal tools. Team training, documentation, and 30-day post-launch support included.

All prices exclusive of GST. Third-party API costs (OpenAI, Anthropic, etc.) are separate and pass through at cost. Book a discovery call.

FAQ

Questions about AI consulting.

Not sure if AI is right for your business right now? Let us find out together.

Book a Discovery Call
We are a small business. Is AI consulting relevant for us?
Yes - often more relevant than for large enterprises. Small businesses have the most to gain from AI because they have limited staff and repetitive processes that AI can automate at a fraction of the cost of hiring. A 10-person team spending 3 hours a day on tasks that AI can do in 20 minutes is a bigger proportional opportunity than a 500-person company doing the same. The workflow audit tells you quickly whether the ROI justifies the investment at your scale.
Do we need to have our own data to use AI?
Depends on the use case. For AI tools like LLMs (ChatGPT, Claude), you do not need your own training data - the models are pre-trained and you interact via prompts and API calls. For more customised applications like demand forecasting, product recommendation, or lead scoring based on your historical data, you do need structured data - and the readiness assessment identifies whether you have enough and in what format. We will not recommend a data-dependent AI solution if your data is not ready for it.
How is this different from just giving us a ChatGPT subscription?
A ChatGPT subscription is a tool. What we provide is a workflow - we identify which specific processes AI can improve, build the integrations so AI actually works inside your existing tools (not in a separate browser tab), write the structured prompts or system prompts that produce reliable output for your use case, and train your team to use it consistently. The difference between "we have AI access" and "AI saves us 14 hours a week" is everything between the tool and the workflow.
What about data privacy - can we send customer data to AI APIs?
This is one of the most important questions, and one most AI consultants skip. PII (customer names, email addresses, phone numbers) should not be sent to third-party AI APIs without explicit consent and a data processing agreement with the API provider. We design our AI workflows to strip or pseudonymise PII before it leaves your system, use India's DPDP Act requirements as a baseline, and recommend on-premise or private deployment (self-hosted open-source LLMs) for use cases involving sensitive data. We flag the legal exposure before building, not after.
What if the POC does not work well enough to implement?
That is the whole point of a POC - to find out before you spend on full implementation. If the POC shows that AI cannot reliably do what you need at the quality threshold required, we say so. We would rather lose an implementation project than build something that does not perform. In practice, the POC stage also gives us the information to refine the approach - sometimes the original use case is not quite right but a modified version works well. We document what worked and what did not so the learning is captured regardless.
Can you integrate AI into our existing Shopify or WooCommerce store?
Yes - and this is a natural extension of our eCommerce development work. AI-powered product search, personalised product recommendations, AI-generated product descriptions, automated customer support via chatbot, and AI-assisted review response are all integrations we can build directly into Shopify or WooCommerce. We handle both the AI layer and the eCommerce integration in-house without needing a separate agency for each.

Find out where AI actually saves your business time and money.

Start with the workflow audit - we map your processes, identify the opportunities, and estimate the ROI before you spend anything on implementation. No hype, no vendor bias, no locked-PDF deliverables.