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Taking 3 engagements this quarter

We make AI work inside your company.

We sit with your team, study your operations, and put AI where it moves the needle.

(01) Operating beliefs

We sell outcomes, not hours.

Three things we believe about putting AI to work inside a real business. If you disagree with all three, we're probably not a fit.

01

One workflow at a time.

We don't take on large multi-year programs. We pick the one workflow where the impact is biggest, build it, and move to the next.

02

Tied to a number you track.

Every build is tied to one number you already care about. Collection days, yield, cycle time, cash flow. If we can't agree on the number in week one, we haven't agreed on the problem.

03

Small. Senior. On the ground.

One person owns your account start to finish. The team is small and rotates in as needed. Everyone on it has built and run AI in production in the last twelve months.

(02) What we build

Agents that run workflows. Not dashboards.

Four types of solutions we've built or are building. We start with the one that fits your business. The rest can follow.

● Flagship ARCH / 01

Revenue Ops Agent

For distributed sales & collections

Sits between your ERP, your sales systems, and your field reps. Tells each rep where to go, what to collect, and what to say. Reconciles payments back into the system. Flags working-capital risk to the CFO before it compounds.

MovesCollection days · rep productivity · working capital
Live at● India's largest pharma distribution network
Ready to deploy ARCH / 02

CXO Decision Layer

For MDs and promoters

A mobile assistant that reads across your ERP, plant data, CRM, and the reports and notes that no system talks to. Shows you three decisions worth making today, with the rupee impact attached. Simulates the big ones before you commit.

MovesDecision speed · yield · cash flow · leakage caught
Live at● ₹1,000 Cr integrated steel plant
Ready to deploy ARCH / 03

Contract & Compliance

For pharma, biotech, hospitals

Reads vendor contracts, GMP files, QA reports, filings. Extracts obligations, renewals, deviations. Drafts responses. Routes exceptions to humans. Keeps a live compliance ledger that's actually current.

MovesCompliance cycle · audit-readiness · contract leakage
StatusReady to deploy
Ready to deploy ARCH / 04

Procure to Pay

For any mid-market operation

Reconciles PO, GRN, invoice, and payment across systems and email. Flags mismatches. Drafts vendor queries. Writes clean records back to the ERP. Learns vendor behaviour over time.

MovesCycle time · invoice accuracy · disputes · working capital
StatusReady to deploy
(03) How we work

Four phases. Exit after any of them.

No procurement cycle. No lock-in. We discuss commercials on the first call.

PHASE 0 · 2 WEEKS

Diagnostic

Free for our first 5 customers

We shadow your team, map the workflows, and identify where AI agents can move a number you care about. You get a clear report with a recommended first build.

PHASE 1 · 45 DAYS

First build

Fixed fee · tied to one KPI

One workflow live in production. We build, integrate with your existing systems, and stabilise it over 30 days. You see it working before we talk about what's next.

PHASE 2 · 60–90 DAYS

Expand

Add workflows or go deeper

Once the first agent is running, we either take on a second workflow or extend the first to more users, systems, or geographies.

PHASE 3 · ONGOING

Run & improve

Monthly retainer

We operate the agents day-to-day. When the AI improves, we update your systems to match. New workflows get added as they make sense. Monthly review with your CFO or COO.

(04) Fit

Who this is for.
And who it isn't.

Clear on both sides, to save your time and ours.

Yes, if…

  • You're a ₹1,000 Cr+ promoter-led or family-owned business.
  • You run on an ERP (any ERP), and most things beyond it are still manual.
  • You run distributed operations: factories, dealers, field teams, multi-site.
  • The promoter or CFO signs off. You don't run nine-month RFPs.
  • You want a team that ships outcomes, not one that writes strategy.

No, if…

  • You want a chatbot on your website.
  • You're looking for a deck and a roadmap.
  • You're only looking for a one-time consulting project with no intent to put it into daily use.
  • You want someone to replace your ERP. We build on top.
  • You already have an in-house AI team shipping agents. You'd be better served by a platform.
(05) Why now

Three things changed this year.

None were true eighteen months ago. The companies that move now will set the pace. The rest will spend the next two years catching up.

01

The building blocks are ready.

Today's AI tools let a small, focused team build in 45 days what used to take a large consultancy two years and thirty people. The cost of building just dropped by an order of magnitude.

02

Unstructured data is now readable.

Most operational pain lives in documents: vendor contracts, QA reports, WhatsApp chats, field notes. Older automation couldn't read them. AI agents can.

03

Enterprises are ready.

A year ago we had to explain what an LLM was. Today the conversation starts with "show us something that works." The question shifted from whether to when.

(06) Team

Your AI team, without the hiring.

We join your reviews, visit your plants, and shadow your field reps. One person owns your account start to finish. By week two, your team won't think of us as outsiders.

SB

Sravanth B

founder · ceo

In the room with you. Owns the relationship, the commercial, and the delivery. If something's stuck, you call him.

SM

Siddhant Mundra

product

Shapes each engagement and each agent. Translates what your business needs into what we build. 0→1 product background across AI and B2B.

RM

Rishabh Mittal

ml lead · engineering

Picks the right AI models, builds the agents, and makes sure they keep working. The person who built it is the person who runs it.

AD

Senior advisors

product · engineering

Senior operators who've built products at scale. They pressure-test every engagement so we deliver sharper. Named on the first call.

(07) What we need

Four things. That's it.

We keep our requirements to a minimum. If you can't give us these, we won't be able to deliver, and we'll tell you upfront.

01

An executive sponsor

A CXO who owns the outcome and can unblock cross-functional access. Around two hours a week.

02

Read-only data access

Secure, limited access to the relevant slice of your data. Anonymised where needed. We don't change your live systems until Phase 2.

03

Time with your operators

Two or three frontline operators and one person from finance. Three to four hours a week each, for the first month.

04

One KPI we agree on

One primary number, agreed in week one. It's how we both know whether the engagement worked.

30 minutes. One call.
No deck.

We'll listen to how your business runs, talk through where AI agents could help, and tell you honestly whether a diagnostic is worth your time.

We take on only a few companies each quarter - every engagement gets our full attention.

Step 1 of 5
What's your name?
Step 2 of 5
Which company are you from?
Step 3 of 5
What's your role?
Step 4 of 5
What's your approximate annual revenue?
Step 5 of 5
What's the biggest operational challenge you'd want AI to solve?

You're in.

Pick a time that works for you. We'll come prepared with context on your industry.

Pick a slot on Calendly
Prefer email? hello@wyra.tech