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Why choose Trellient as your AI automation partner

Most AI projects don't fail on the technology. They fail on integration, messy data and the absence of anyone who owns the result. We are built around those three problems.

The partner who stays.

The evidence

Why the approach matters.

Published research we built our framework around. Each figure links to its source.

95%

of generative AI pilots showed no measurable P&L return.

Source: MIT NANDA, State of AI in Business 2025 (via Fortune)

~7–9%

of India's 63M+ MSMEs are using AI today.

Source: Noisiv Consulting, AI adoption in Indian MSMEs (2026)

48%

of Indian MSMEs struggle with data readiness.

Source: Noisiv Consulting, AI adoption in Indian MSMEs (2026)

60%+

client churn for project-only automation agencies, against 25–30% with managed retainers.

Source: Cognival, AI automation agency business model (2026)

The options

How we compare.

A general picture of each option for a small or mid-sized business. Individual firms vary.

Trellient compared with other ways to adopt AI
What mattersLarge consultanciesFreelance automation buildersDIY toolsTrellient
Priced for small and mid-sized businessesRarelyYesYesYes — fixed-price entry
Audits your data before buildingYesRarelyNoAlways — it is step one
Owns implementation end to endOften ends at adviceBuild onlyYou do it yourselfAudit to handover
Stays to monitor and measureSeparate engagementRarelyNoMonthly ROI reports
Works with Indian SMB toolsVariesVariesLimitedWhatsApp, Tally, GST, GeM

What's different

Six commitments.

The audit comes first

Automating a broken, undocumented process only automates the chaos. Data readiness is inside our scope, not left to you.

People approve, AI assists

AI handles the messy steps — reading messages, drafting replies. A person approves, and every number is looked up, never guessed.

We stay after launch

Deploy-and-disappear is how most automation projects fail. We monitor, report monthly and fix what drifts.

One client, one instance

Each client runs on a separate setup, so one business's data and failures never touch another's.

Built for how Indian SMBs work

WhatsApp first, Hinglish tested, and connected to the tools you already use — Tally, GST data, GeM.

Outcomes, not tech

Every proposal names a measurable result: hours saved, faster replies, money collected.

Honest scope

What we won't sell.

Filtering these out is part of the assessment. If you don't need it, we'll say so.

  • Custom model trainingSmall businesses rarely have the data volume to justify it. Existing models do the job.
  • Document search over a handful of filesA well-organised folder usually beats an AI search system on a small document set.
  • Voice agents that replace your staffVoice works for routine calls. People stay in charge of everything else.
  • Dynamic pricing without the dataWithout enough sales history, automated pricing is guesswork.

Next step

See it on your business.

A 30-minute call. You leave with three automation opportunities, whether or not you work with us.