AI Automation
Sigzen AI starts with a 45-minute process review, scopes one workflow — signal-triggered outreach, support deflection, invoice matching — with acceptance criteria and a fixed price, and takes it live on the CRM, helpdesk or ERP you already run in four to eight weeks.
One trigger. One workflow. One person approves.
Sales, marketing, support and finance: a signal arrives, the agent does the research and the drafting on the systems you already run, and a person signs it off — every time.
- Sales
- Marketing
- Support
- Finance
Trigger: New Head of Growth hired at a target account
- Signal detected on LinkedIn and matched to the account
- Account enriched and scored against the ICP
- Buyer prompts run; the lost answer and winning competitor found
- First-touch message drafted and the CRM updated in HubSpot
- A person reviews and approves
An illustrative month of runs like thisIllustrative
15
qualified meetings is the kind of target we set with you at the assessment, with one person sending. Research and drafting are automated; sending stays with your team, inside every platform’s rules.
Who it’s for.
This is for you if
- Sales, marketing and support leaders at SaaS, D2C and growth-stage companies whose teams spend the week prospecting, updating the CRM or answering tier-1 tickets
- Founders of 20–200-person companies who want one AI workflow working, with the savings measured
- Teams on ERPNext, HubSpot, Zoho, Zendesk, Intercom or WhatsApp who want AI built on those, not beside them
- A COO, CFO or owner with a named process owner and a queue of manual document work: invoices, orders, tickets
- Manufacturers and services firms with 50–1,000 staff and an ERP or practice-management system in place
Not yet, if
- No system of record: if your data lives in inboxes and spreadsheets we start with an assessment, not a build
- No process owner who can sign off acceptance criteria and handle the exception queue
- A chatbot for its own sake, or a pilot with no number attached to it
- Anyone who wants outreach sent automatically without a person reviewing it first
Ten services. One rule: live in production.
Every workflow ships with acceptance criteria written into the agreement and a person on your team handling the exceptions.
Our outreach engine watches for signals (funding, hiring, tech changes, traffic drops), enriches and scores each account, drafts outreach within platform rules and keeps the CRM clean; a person reviews and sends.
What we report
Qualified meetings a month and cost per meeting
Sprint
Assess, sprint, run.
One workflow at a time, each with acceptance criteria written into the agreement before we start.
- Step 1
AI readiness assessment
$6,000₹2.5L/ ₹2.5L$6,000 · from, one-time
3 weeks
A process inventory, your top ten use cases scored on value, feasibility and risk, and a six-month roadmap with business cases.
- Process inventory and data-readiness check
- Top-10 use cases scored on value × feasibility × risk
- Governance checklist
- Six-month roadmap with expected hours and cost saved
- Step 2
Automation sprint
$10,000₹4L/ ₹4L$10,000 · from, one-time
4–8 weeks
One workflow or agent built on the systems you already run, live in production, with hours saved measured and signed off.
- Acceptance criteria agreed before build
- Built on your CRM, helpdesk, ERP or messaging
- Exception queue handled by your people
- Hours-saved measurement signed off at the end
- Step 3
Managed AI-ops
$2,000₹1L/ ₹1L$2,000 · from, per month
Rolling
Monitoring, prompt and model upgrades, cost control and a monthly improvement backlog, with a quarterly business review.
- Uptime and cost-per-task monitoring
- Prompt and model upgrades as engines change
- Monthly improvement backlog
- Quarterly business review
Assessments are credited 50% against a sprint booked within 30 days.
Talk to usSigned off, not demoed.
Every workflow has a number attached before we build it and a signature after. If the maths does not work on the process review, we say so on the call.
01
Acceptance criteria in the agreement
Before the build starts we write what 'done' means into the agreement: the volumes, the accuracy, how exceptions are handled and the number we will measure. Scope changes go to a change order or the next rung, never absorbed quietly.
02
Hours saved, deflection and cycle time, measured
We baseline the process before we build, measure after, and your process owner signs the number off at the end of the sprint: hours saved for back-office flows, deflection and first-response time for support, cycle time and error rate for documents.
03
Exceptions go to people
Every workflow has an exception queue handled by your team, and a person reviews outreach before it is sent. Your ERP or CRM stays the system of record; the agent never becomes one.
04
Official APIs, audit logs, cost caps
We build on official APIs only, log every action, cap spend per task and per day, and keep a human-in-the-loop control on anything that leaves the company. The governance checklist is part of every agreement.
Sounds familiar?
“Support volume and response times are killing us.”
Head of CX
“Invoices, orders and reconciliations are still manual.”
CFO
“Our reps spend most of the week prospecting and updating the CRM.”
Head of Sales
“We tried AI pilots and got nothing we could show the board.”
COO
Composites of what buyers tell us in discovery calls, in their words; not client quotes.
Four playbooks, one workflow at a time.
Where we start, what we build and what follows. Every entry is one workflow with a number attached, on the systems you already run.
Who
20–300 staff selling internationally, with a sales team on HubSpot or Zoho
How we start
Revenue-ops automation: signal-triggered prospecting, enrichment and ICP scoring, with a person reviewing every message before it is sent.
What we do
Qualified meetings a month and cost per meeting, measured against the criteria in the agreement, with CRM hygiene and meeting-prep briefs built in.
What follows
Support agents on your helpdesk for tier-1 how-to tickets, then managed AI-ops; share of answer through the visibility side of the studio.
Who
Brands with $1–50M GMV on Shopify or WooCommerce, in any market
How we start
A where-is-my-order support agent on web, WhatsApp and email, grounded in your order data and policies, with escalation to your team.
What we do
Deflection, first-response time and CSAT measured and signed off; we target 40–70% deflection of tier-1 tickets with people handling the rest.
What follows
Returns automation, marketing-ops pipelines for repurposing and reporting, then AI-shopping readiness through the visibility side of the studio.
Who
Manufacturers with 50–1,000 staff running ERPNext or another ERP
How we start
An automation sprint on your most painful document flow: purchase-order and invoice matching or email order entry, with a hard hours-saved number.
What we do
One workflow live in 4–8 weeks on your ERP, exceptions queued for your people, and hours saved, cycle time and error rate signed off.
What follows
Quotation agents and demand-forecast assistants, managed AI-ops, then a 'found by industrial buyers in AI' visibility programme for exporters.
Who
Law, accounting and advisory firms with 10–200 people in any market
How we start
Document intelligence: contract review and clause extraction, client onboarding and KYC checks, or an RFP responder, scoped on a 45-minute process review.
What we do
Turnaround time and accuracy measured against agreed criteria, with every output reviewed by a fee-earner before it leaves the firm.
What follows
Proposal automation, then managed AI-ops; a brand-narrative audit through the visibility side of the studio when the firm is ready.
Questions about AI automation.
The readiness assessment is from $6,000 (₹2.5L). An automation sprint (one workflow live) is from $10,000 (₹4L) and runs 4–8 weeks. Managed AI-ops is from $2,000 (₹1L) a month. Assessments are credited 50% against a sprint booked within 30 days. Sprints are 50% upfront, with acceptance criteria in the agreement.
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