Agentic AI for Indian MSMEs
Not just AI strategy — we assess, build, deploy, and consult. Five purpose-built offerings for the scale, budgets, and operational complexity of India's micro, small, and medium enterprises.
What is Agentic AI?
AI that doesn't just answer — it acts
Traditional AI gives you predictions. Agentic AI gives you autonomous agents that perceive, reason, plan, and execute multi-step tasks — from reordering inventory when stock runs low, to diagnosing a sales decline root cause, to generating your weekly production schedule automatically.
- Autonomous decision-making within defined guardrails
- Multi-step task execution without human intervention
- Continuous learning from your business data and decisions
- Seamless integration with WhatsApp, ERP, POS, and CRM
MSME-Specific Offerings
Five offerings built only for MSMEs
Not enterprise tools stripped down. Purpose-built for India's micro, small, and medium businesses — affordable, deployable in days, generating ROI from week one. Each offering is sector-contextualised across Manufacturing, Retail, Consumer Products, and Logistics.
Agentic AI Readiness Assessment
Know exactly where you stand before you invest a rupee
A structured diagnostic that maps your business across six AI readiness dimensions — data maturity, process digitisation, leadership alignment, talent readiness, infrastructure, and governance. Produces a scored report, sector benchmark comparison, and a prioritised 90-day AI roadmap specific to your industry and scale.
Most MSMEs waste their first AI investment because they start with the wrong problem. This assessment identifies your highest-ROI AI opportunity — not in theory, but grounded in your actual data quality, workflows, and team capability.
What you get
- 6-dimension AI Readiness Score benchmarked against sector peers
- Capability gap analysis — what's missing and how to close it fast
- Top 3 high-ROI AI opportunities ranked by effort vs. impact
- 90-day implementation roadmap with week-by-week milestones
- Investment sizing guide: budget, tools, and talent requirements
Sector examples
Auto ancillary unit: data maturity score 2/5 → priority AI opportunity = production planning agent to eliminate overtime and missed deliveries.
Fashion boutique chain: process digitisation score 3/5 → priority = inventory velocity AI to cut dead stock by 30%.
Regional FMCG brand: distribution reach score 1/5 → priority = AI-driven distributor performance monitoring before scaling outlets.
Last-mile delivery startup: talent score 4/5, infra score 2/5 → priority = route optimisation agent before any AI upskilling investment.
Ready-to-Use AI Skills Library
20 pre-built, tested AI skills across 4 MSME sectors
Each AI skill is a complete, plug-in capability that instantly gives your team — or your AI agent — deep operational expertise in a specific domain. No prompting. No configuration. No AI expertise needed. Select a skill, describe your challenge, and receive structured India-contextualised outputs within minutes. Built on real MSME operational knowledge, not generic templates.
Enterprise AI teams take months to build domain knowledge. Our Skills Library gives MSME founders that knowledge pre-packaged — a Manufacturing Production Planner, a Retail Inventory Velocity Manager, a D2C Revenue Engine, and 17 more — all instantly deployable with zero technical setup.
What you get
- Manufacturing (5 skills): Production Planner, Inventory Controller, Quality System Builder, Supplier Development, Cost & Profitability Analyser
- Retail (5 skills): Store Performance Optimizer, Inventory Velocity Manager, Loyalty & Customer Growth, Digital Presence Activator, Credit & Collections Manager
- Consumer Products (5 skills): Brand Launch Planner, Distribution Builder, D2C Revenue Engine, Price & Revenue Optimizer, Trade Marketing Planner
- Logistics (5 skills): Route & Network Optimizer, Fleet Performance Manager, Warehouse Ops Planner, Last-Mile Delivery Agent, Logistics Cost Reducer
- Each skill outputs structured reports, trackers, and decision frameworks in WhatsApp-deliverable format
Sector examples
manufacturing-production-planner: inputs machine list + order book → outputs Master Production Schedule, OEE improvement roadmap, bottleneck analysis, daily target card in WhatsApp format.
retail-inventory-velocity-manager: inputs POS data → outputs ABC-XYZ SKU classification, reorder level formulas, dead stock liquidation matrix, shrinkage investigation checklist.
consumer-products-d2c-revenue-engine: inputs Shopify/WooCommerce data → outputs D2C funnel diagnostic, CAC by channel tracker, LTV:CAC ratio, retention WhatsApp sequences.
logistics-route-optimizer: inputs delivery zones + fleet data → outputs route efficiency map, cost-per-km benchmarks, hub-and-spoke design recommendation.
AI Agents for Recurring Tasks
Set it up once — your agent handles it every single time
Purpose-built agentic workflows that autonomously execute your most time-consuming recurring business tasks. Each agent is pre-configured with MSME-specific business logic, integrates with your existing tools (WhatsApp, ERP, POS, email), and escalates to a human only when genuinely needed. From purchase order creation to daily sales health cards — you design the rule, the agent executes it.
MSME managers spend 60–70% of their time on tasks that follow predictable, repeatable logic — creating POs, generating reports, sending reminders, updating scorecards. These are exactly the tasks AI agents eliminate. Free your team for decisions that actually require human judgment.
What you get
- Purchase order auto-creation when inventory crosses reorder point — supplier query, PO draft, WhatsApp approval loop
- Weekly production schedule generation and distribution to floor supervisors via WhatsApp
- Supplier performance scoring and automatic CAPA trigger when quality drops below threshold
- Daily sales health card: revenue vs. target, top 5 SKUs, slow movers, outlet-wise gap — delivered by 8am
- Customer win-back sequence: automatic outreach to 30/60/90-day lapsed buyers with personalised offers
- Distributor claim processing, credit note generation, and outstanding reconciliation — automated end-to-end
Sector examples
RM stock ≤ reorder point → agent queries 3 approved suppliers → selects best OTIF+price → generates PO → WhatsApp approval to manager → logs to ERP on confirmation. Zero manual steps.
Daily 8am card: 5 stores × 5 KPIs (footfall, conversion, ATV, revenue, vs. target) → colour-coded WhatsApp summary to owner → anomaly alert if any store >15% below target.
Monthly distributor scorecard: pulls sell-in/sell-out data → ranks distributors → triggers improvement email to bottom-quartile → logs to CRM automatically.
End-of-day route reconciliation: planned vs. actual delivery → flags missed drops → calculates cost-per-km → sends performance summary to dispatch head via WhatsApp.
CEO AI Co-Pilot
A McKinsey-grade strategic partner — available 24/7 on WhatsApp
The CEO Co-Pilot is a production-grade, 8-layer agentic AI system — not a chatbot — that functions as a daily strategic thinking partner. It converts vague pain points into structured MECE issue trees, conducts branching diagnostic conversations via WhatsApp (2–5 questions per session), routes questions to functional heads when needed, and closes the loop by assigning actions, tracking execution, and validating outcomes against KPIs.
A McKinsey team works in structured 8-week sprints. Your CEO Co-Pilot works every day, retains memory of every decision you've made, knows your industry's critical KPIs, and turns your morning voice note into a board-ready action plan by 9am. Designed for promoters who are too close to the business to see it clearly.
What you get
- Daily strategic briefing: top 3 decisions pending, top 2 risks, one opportunity — delivered via WhatsApp by 7:30am
- MECE-structured problem diagnosis from free-form CEO input (voice or text)
- Branching diagnostic conversation — 2 to 5 questions per session, zero jargon, one question at a time
- Multi-stakeholder input: routes unanswered questions to CFO, COO, sales head — consolidates responses
- Prioritised action plan with KPI targets, owner assignments, and effort × impact ranking
- Closed-loop execution engine: follow-up reminders, escalation logic, outcome validation vs. KPI targets
Sector examples
CEO: 'Our margins are down 3%.' → Co-Pilot activates Manufacturing Margin issue tree → 3 questions on volume/pricing/cost → root cause: RM price increase not passed to buyers → action plan: pricing review + supplier renegotiation, assigned to COO and CFO.
CEO: 'Same-store sales declining 12% YoY.' → Co-Pilot activates Retail Revenue tree → footfall → conversion → ATV branches → identifies conversion drop → routes to store manager → action plan: visual merchandising + staff training sprint.
CEO: 'New distributor appointment is stuck.' → Co-Pilot activates Distribution tree → identifies territory conflict with existing partner → action plan: territory carve-out + ROI calculator drafted and sent to distributor.
CEO: 'We are losing 2 major clients.' → Co-Pilot activates Customer Retention tree → 4 questions on service level and pricing → identifies OTIF below SLA → action plan: route re-optimisation + client review agenda drafted.
AI Consulting
Strategy, business case, platform selection, and implementation roadmap
For MSMEs that want to build a credible AI strategy before committing to platforms or vendors. Our consulting engagement delivers a board-ready AI strategy aligned to your 3-year growth plan, a quantified business case with ROI model, a shortlist of platforms matched to your budget and IT maturity, and a phased implementation roadmap with change management built in. We help you make the right AI investment decision — not just any AI decision.
Most AI projects fail because they start with a technology choice, not a business problem. Our AI Consulting engagement flips that — we start with your P&L, your bottlenecks, and your 3-year growth plan, then work backwards to identify the right AI use cases, the right platforms, and the right phasing to generate ROI without disrupting operations.
What you get
- AI Strategy Document: vision, principles, 3 strategic priorities, success metrics — ready for board presentation
- Business Case: 3-year ROI model, payback period, risk-adjusted NPV for top 3 AI use cases
- Platform Shortlist: India-available AI tools evaluated by budget tier (₹5L / ₹20L / ₹50L+), integration ease, MSME fit
- Implementation Roadmap: 12-month phased plan with quick wins in Month 1–3, scaled deployment in Month 4–9
- Vendor Selection Support: RFP framework, evaluation scorecard, negotiation guidance for AI vendors
- Change Management Plan: team readiness assessment, upskilling agenda, governance model, AI policy document
Sector examples
₹80 Cr auto ancillary: 3 AI use cases identified → ₹1.8 Cr annual saving modelled → platform shortlist: SAP Business AI vs. custom LangGraph → Phase 1 live in 90 days.
30-store fashion chain: inventory AI prioritised → ₹2.4 Cr capital freed via dead stock reduction → Vinculum + custom AI layer selected → 12-month roadmap delivered.
Regional FMCG brand: secondary sales AI identified as highest ROI → Bizom with custom analytics layer → payback period: 14 months.
Mid-size 3PL: route optimisation AI saves ₹1.1 Cr/year → Board business case built → FarEye selected → 6-month deployment roadmap.
Offering 02 — Skills Library Detail
20 sector skills, ready to deploy today
Each skill is a pre-built, tested AI capability for a specific MSME operational domain. Select a skill, describe your challenge, and get structured India-contextualised reports, trackers, and decision frameworks within minutes.
Manufacturing
- Production Planner
MPS, OEE, shift-level scheduling, bottleneck analysis
- Inventory Controller
ABC-XYZ classification, reorder policy, GST challan
- Quality System Builder
FTR tracker, Pareto analysis, CAPA register
- Supplier Development
Scorecard, TCO calculator, ARC negotiation template
- Cost & Profitability Analyser
Product cost card, break-even, make vs. buy
Retail
- Store Performance Optimizer
FCAR dashboard, peak hour heatmap, staff scheduling
- Inventory Velocity Manager
Dead stock classification, inventory turns, shrinkage
- Loyalty & Customer Growth
CLV calculator, win-back sequence, referral playbook
- Digital Presence Activator
GMB optimisation, ONDC onboarding, WhatsApp Business
- Credit & Collections Manager
Khata ageing, credit policy, escalating reminder flow
Consumer Products
- Brand Launch Planner
GTM checklist, 90-day tracker, FSSAI/BIS compliance
- Distribution Builder
Territory mapping, distributor ROI, channel conflict framework
- D2C Revenue Engine
Funnel diagnostic, CAC by channel, LTV:CAC, retention flows
- Price & Revenue Optimizer
Pricing architecture, retailer/distributor margin waterfall
- Trade Marketing Planner
BTL calendar, scheme ROI, sell-through rate KPIs
Logistics
- Route & Network Optimizer
Hub-spoke design, cost-per-km benchmarks
- Fleet Performance Manager
Utilisation tracker, maintenance trigger, downtime log
- Warehouse Operations Planner
SLOB report, space utilisation, pick-pack optimisation
- Last-Mile Delivery Agent
OTIF tracker, exception alerts, delivery reconciliation
- Logistics Cost Reducer
Freight benchmarking, mode mix optimisation
A McKinsey-grade partner, built into your WhatsApp
The CEO Co-Pilot is a production-grade, 8-layer agentic AI system — not a chatbot. It combines conversational intelligence, MECE diagnostic reasoning, multi-stakeholder input consolidation, and a closed-loop execution engine into a unified daily operating system for business leaders. Built for Manufacturing, Retail, Consumer Products, and Logistics CEOs.
“A scalable McKinsey-in-a-box — personalized to each CEO, embedded in daily operations, and built to ensure things get done.”
8-Layer System Architecture
AI strategy before you spend a rupee on AI
Most MSME AI projects fail because they start with a technology choice, not a business problem. Our consulting engagement starts with your P&L and growth priorities — then works backwards to the right AI strategy, the right platforms, and a phased roadmap with ROI built in.
Step 1
Strategy
Map your growth priorities and identify where AI creates the highest competitive advantage. Outputs a board-ready AI vision document with 3 strategic priorities and success metrics.
Step 2
Business Case
Quantify ROI for top 3 use cases — 3-year model, payback period, risk-adjusted NPV. Built on your actual P&L data, not industry averages.
Step 3
Platform Selection
Evaluate India-available AI platforms by budget tier (₹5L / ₹20L / ₹50L+), integration fit, and MSME maturity. Includes RFP support and vendor negotiation guidance.
Step 4
Roadmap
12-month phased implementation plan with quick wins in Month 1–3, scaled deployment in Month 4–9, and a change management + upskilling plan built in.
What the consulting engagement delivers
- AI Strategy Document aligned to your 3-year growth plan — board-ready
- Business Case: 3-year ROI model, payback period, risk-adjusted NPV per use case
- Platform Shortlist: India-available tools evaluated by budget tier (₹5L / ₹20L / ₹50L+)
- Implementation Roadmap: 12-month phased plan with quick wins in Month 1–3
- Vendor RFP framework, evaluation scorecard, and negotiation guidance
- Change Management Plan: upskilling agenda, governance model, AI policy document
Sector examples
₹80 Cr auto ancillary → 3 AI use cases identified → ₹1.8 Cr annual saving modelled → platform shortlist: SAP Business AI vs. custom LangGraph → Phase 1 live in 90 days.
30-store fashion chain → inventory AI prioritised → ₹2.4 Cr capital freed via dead stock reduction → Vinculum + custom AI layer selected → 12-month roadmap delivered.
Regional FMCG brand → secondary sales AI as highest ROI → Bizom with custom analytics layer → payback period: 14 months.
Mid-size 3PL → route optimisation AI saves ₹1.1 Cr/year → Board business case built → FarEye selected → 6-month deployment roadmap.
How We Work
From assessment to impact in 8 weeks
Assess
Week 1–2
AI Readiness Assessment, data audit, and use case identification tailored to your sector, scale, and existing tools.
Prioritise
Week 3
Score AI use cases by ROI, feasibility, and strategic fit. Select the right skills, agents, and consulting depth for your context.
Build
Week 4–8
Deploy pre-built AI skills and agents. Configure CEO Co-Pilot with your business context. Sprint-based delivery with weekly demos.
Scale
Ongoing
Measure outcomes, train your team, expand AI skills across departments. We stay engaged until results are locked in.
Ready to bring Agentic AI to your business?
Start with a free assessment. No commitment, no contracts. Just clarity on where AI can drive the most impact — across all five of our MSME offerings.