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HOW WE WORK

Four steps.
Zero waste.

Every SochLabs project follows the same four-phase process. It is designed to eliminate surprises, ship fast, and ensure the system actually gets used after handover.

01

Discovery

3–5 days

Real understanding, not generic audits

We begin with a structured deep-dive into your business — your workflows, your data, your team, and your actual pain points. Not a 50-question form, but real conversations with the people doing the work.

What happens in this phase

  • ▸Operations audit — map every key workflow end-to-end
  • ▸Identify the top 3 highest-ROI automation opportunities
  • ▸Assess existing data quality and system integrations
  • ▸Define success metrics before a single line of code is written
  • ▸Agree on scope, timeline, and expected outcomes in writing
Output → A Discovery Report with prioritized opportunities, a proposed solution architecture, and a fixed-scope project brief.
02

Architect

3–7 days

Blueprint before code

We design the full system — which AI models to use, how data flows between components, what integrations are needed, and where the edge cases are. This is where we make the hard decisions so the build phase has no surprises.

What happens in this phase

  • ▸Select the right AI models for your specific use case and cost profile
  • ▸Design data flow architecture and integration points
  • ▸Map conversation flows (for chatbots) or automation logic (for workflows)
  • ▸Identify and plan for edge cases and error states
  • ▸Create a technical spec your team can review and sign off on
Output → A technical architecture document, data flow diagram, and finalised build plan with milestones.
03

Build & Ship

1–4 weeks

Production-grade systems, not dust-collecting prototypes

Rapid sprints with weekly check-ins and working demos throughout — not a big reveal at the end. Every component is tested against real data before being handed over. We ship to production, not a sandbox.

What happens in this phase

  • ▸Week 1: Core system built and deployed to staging environment
  • ▸Week 2: Integrations connected, edge cases handled, internal testing
  • ▸Week 3 (if needed): Refinements based on real usage data from your team
  • ▸Final: Production deployment with documentation and runbooks
  • ▸Handover: Your team is trained to operate and maintain the system
Output → A fully deployed, production-ready system with documentation, a runbook, and a 30-day support window.
04

Scale

Ongoing

Measure, optimise, and expand

We monitor the system for 30 days post-launch, measure actual outcomes against the targets set in Discovery, and identify what to build next. Most clients expand to a second automation within 60 days of the first going live.

What happens in this phase

  • ▸Weekly analytics review for the first 30 days
  • ▸Accuracy and performance optimisation based on real usage
  • ▸Identify and fix edge cases that only appear in production
  • ▸Present ROI report against Discovery targets at day 30
  • ▸Plan next phase of the automation roadmap based on learnings
Output → A 30-day ROI report, performance benchmarks, and a prioritised roadmap for what to build next.
COMMON QUESTIONS

Things clients ask us before starting

How fast do you actually deliver?

Most projects are live in 2–4 weeks from the start of the Build phase. Simple automations (n8n workflows, basic chatbots) take 1–2 weeks. Complex systems with multiple integrations take 4–6 weeks. We have never missed a committed deadline.

Do we need a technical team on our side?

No. We handle all the technical work. You need to provide: access to your systems, answers to process questions, and a point of contact who can make decisions. A non-technical founder is fine — we translate everything into plain language.

What happens after delivery?

You get a 30-day support window included in every project. We fix any bugs, handle edge cases that appear in production, and make minor tweaks at no extra cost. After 30 days, we offer monthly retainers for ongoing maintenance and improvements.

How do you price projects?

Fixed-price, per-project. We agree on scope and price before any work begins — no hourly billing surprises. Projects typically range from ₹80,000 for a basic automation to ₹4–8 lakh for complex custom AI systems. We give a detailed quote after the Discovery call.

What if the project scope changes mid-build?

We handle small changes (under 20% of original scope) within the existing budget. Larger scope additions are quoted separately and added as a second phase. We flag scope creep early so you are never surprised by an invoice.

Step 0 is free

Start with a Discovery call.

30 minutes. We map your biggest workflow problem and tell you exactly what we would build, what it would cost, and what outcome to expect.

BOOK A DISCOVERY CALL →