AI Integration Sprint
One ML/AI feature integrated into your existing product.
What this pack is
Pick one AI feature that would actually move the needle for your business. We design it, build it, integrate it into your existing product, and measure impact. No vague AI strategy engagements.
Everyone has an AI initiative on the roadmap. Most of them die in a slide deck. We do the opposite: one specific feature, framed as a measurable business outcome, shipped to production with an A/B test. Examples we've actually built — a smart-routing feature that picks the right rider for an order; an auto-tagging system for product descriptions that cuts data-entry by 70%; a churn-prediction model that flags 15% of customers for proactive outreach; a document-parsing pipeline that extracts invoice fields with 95% accuracy. Week 1 we frame the problem and audit data. Weeks 2–3 we prototype with GPT-4 / Claude / open-source models. Week 4 we integrate into your product. Week 5 we set up A/B test and hand over docs.
Who this pack is for — and who it isn't
A good fit if
- SaaS products with a clear feature where AI could materially improve a metric
- Operations teams drowning in repetitive document/data tasks
- Customer-facing products that could benefit from personalization or smart automation
- Teams with existing data (logs, transactions, support tickets) to learn from
Probably not for you if
- Companies wanting an 'AI strategy' — that's not a sprint, that's strategy work
- Bleeding-edge research projects (we use proven techniques, not novel ones)
- Use cases needing fine-tuned LLMs on proprietary data at scale (different engagement)
Quick facts
- Price
- ₹3,00,000 (excl. GST)
- Timeline
- 5 weeks from kickoff
- Payment
- 50% on signing, 50% on delivery
- Post-delivery AMC
- From ₹60,000/year
- Built for
- Indian SMBs
- Delivered by
- Aryavrut, est. 2021
Your 5 weeks, mapped out
Exactly what happens, week by week. No black box.
- 1Week 1·
Problem framing
Define the metric the feature should move, audit available data, evaluation criteria
- 2Weeks 2–3·
Prototype
Model selection, prompt engineering, evaluation set, iteration to acceptable quality
- 3Week 4·
Production integration
Build into your existing product, error handling, fallbacks, cost monitoring
- 4Week 5·
A/B test & handover
Set up A/B framework, measure baseline, document for your team, AMC contract
What's included (week-by-week)
- 01Week 1: Problem framing + data audit
- 02Week 2-3: Model selection + prototype
- 03Week 4: Production integration
- 04Week 5: A/B test setup + handover
- 05Code + docs + monitoring
What you provide
- Clear problem statement
- Access to data + existing codebase
- 50% advance, 50% on integration
What you walk away with at week 5
Concrete artifacts you can point to. No vague "transformation" — actual stuff that runs in production.
- One specific AI feature live in production at week 5
- A/B test framework comparing AI-on vs AI-off, with measurable metric impact
- Monitoring + cost tracking for ongoing LLM API usage
- Documentation + handover for your team to iterate independently
Why teams pick this pack over the alternatives
Honest comparison. We name the alternatives and tell you when they're the better choice.
vs. Hire an in-house ML engineer
Why pick Hire an in-house ML engineer
Deep ownership, long-term capability
Why pick this pack
₹3L sprint vs. ₹40L+/year hire. Validate the feature works before staffing.
vs. Use an AI consulting firm
Why pick Use an AI consulting firm
Bench of specialists across domains
Why pick this pack
One feature shipped vs. a roadmap document. Defined deliverable, fixed price.
AI Sprint — questions we get a lot
How much does AI Integration Sprint cost?
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AI Integration Sprint is fixed at ₹3,00,000 (₹3,00,000), exclusive of GST. Payment terms: 50% on signing, 50% on delivery.
How long does AI Integration Sprint take?
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5 weeks from project kickoff. Timelines are calendar weeks and we publish the week-by-week breakdown on the pack page.
What's included in AI Integration Sprint?
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Week 1: Problem framing + data audit; Week 2-3: Model selection + prototype; Week 4: Production integration; Week 5: A/B test setup + handover; Code + docs + monitoring
What is the AMC for AI Integration Sprint?
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Annual maintenance contract starts at ₹60,000/year after delivery.
What does the customer need to provide?
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Clear problem statement; Access to data + existing codebase; 50% advance, 50% on integration
Tech stack
Production-grade, modern, well-documented stack. No exotic frameworks no one else can maintain. You can hire any competent engineer to extend this code.
Common add-ons (price up front, no surprises)
Most clients pick 0–2 of these. We'll suggest only what you actually need on the discovery call.
Fine-tuning on your data
₹2,00,000If general-purpose models don't hit quality bar
Second AI feature in sequence
₹2,50,000Discounted from ₹3L since context is loaded
AI cost-monitoring dashboard
₹50,000Per-feature cost tracking with alerts
Ongoing prompt optimization retainer
₹25,000/monthMonthly review + iteration as you collect production data
Looking for something else?
Custom CRM
CRM built around your exact sales pipeline.
HRMS
Payroll, attendance, PF/ESI/TDS automation in 8 weeks.
ERP MVP
Process audit + working MVP of your custom ERP.
Cloud Migration
On-prem to AWS/GCP/Azure with zero downtime cutover.
Mobile MVP
iOS + Android app from spec to App Store.
Ready to start?
We reply within 1 business day. We'll either confirm the pack fits, or tell you honestly that it doesn't.