What is Manch?+
Manch is an Autonomous Enterprise Business Process Platform. It takes business intent to production in hours, not days or months, on one governed foundation of trusted data, orchestrated process and retained context. Manch AI, the living knowledge engine, runs the loop.
Why do so many enterprise AI initiatives fail?+
According to the 2025 MIT report The GenAI Divide, 95% of enterprise generative AI pilots show no measurable impact on profit and loss. The main reason is that data, process and context stay pulled apart. Data is fragmented across silos, business rules are buried in people and workarounds, and the knowledge that runs the business is undocumented.
How does Manch fix that?+
It unifies the three layers. Data is trusted: golden records, lineage and validation at entry. Process is governed: policy enforced in-flow with full traceability. Context is retained: enterprise knowledge is captured once and reused on every new process.
How does a process get from intent to production?+
One continuous loop: Describe, Build, Test, Deploy, Evolve. You tell the agent your process, it assembles the configuration, tests it, deploys it live on your platform, then keeps improving it. Business users stay in control, with up to 90% faster deployment.
What is Manch Agentic AI?+
Manch Agentic AI uses AI agents to help build, validate and test business processes from requirements described in plain language. Your team reviews and approves before go-live.
How is Manch different from app builders, AI agents, BPM and enterprise suites?+
App builders and AI agent startups are fast, but fast to a demo with no enterprise context. Suites hold context but take months to years. BPM and low-code take weeks to months, and automation tools take weeks. Manch pairs full lifecycle autonomy with native enterprise context, and arrives business-ready in hours: governed, grounded in master data, tested and integrated.
How does the agentic framework work?+
Three stages. Author: agents read documents, email, meeting notes, audio, video, images and spreadsheets, and ask you for anything missing. Configure: the configuration agent uses metadata services to build validation, rules, workflow, reporting and integration. Execute: the enterprise process runs, reachable by voice, text, web, mobile and API. The knowledge engine shares context across every stage.
How much control do humans keep?+
Autonomy is governed. Agents propose, simulations prove the result on reference data, and humans approve at every gate, with an audit trail that cannot be changed. Delivery moves from manual (6–10 weeks, expert-led) to AI-augmented (1–2 weeks, analyst-led) to autonomous (self-service).
Which systems does Manch work with? Does it replace SAP?+
Manch is cloud-native and API-first, with connectors for SAP, Oracle, Microsoft Dynamics, Salesforce and ServiceNow. It works alongside these systems and does not replace them. It also validates against government APIs (PAN, GST, FSSAI, bank) and supports Indian languages and English speech.
Which industries does Manch serve?+
FMCG and consumer goods, retail and e-commerce, and manufacturing.
What proof is there that it works?+
Manch has 300+ business processes live across 15 strategic enterprise customers. It won the Times of India AI Quotient Award for AI in Product Innovation in September 2026.
