Workflows that run themselves — with AI in every step.
n8n, Make, Zapier, and custom Python — combined with OpenAI / Claude / LangGraph so the workflows your team hated doing now run 24/7.
Email triage, document processing, lead qualification, support automation, multi-system integrations. 10–40 hours saved per workflow, per week.
Eight workflow categories we ship every month
From email triage to multi-agent autonomous workflows — automation that pays for itself in month one.
Email & Communication Triage
AI reads incoming email, classifies intent, drafts a reply, creates a CRM/helpdesk record, and routes anything needing human attention.
Document Processing Pipelines
PDFs, contracts, invoices, ID cards, forms — extracted, validated, pushed into ERP / CRM / data warehouse with full audit trail.
Lead & Sales Automation
Lead-form / inquiry → AI qualification → CRM enrichment → meeting booking → drip nurture — fully automated, with rep-only escalation when AI confidence is high.
Customer Support Automation
Ticket comes in → AI summarises → categorises → drafts reply → checks knowledge base → escalates with full context if needed.
Internal Operations Automation
Approval workflows with AI smart steps — expense triage, leave approval, onboarding checklists, vendor onboarding, contract review.
Multi-System Integration Workflows
Connect anything to anything — ERP ↔ CRM ↔ helpdesk ↔ accounting ↔ marketing ↔ data warehouse — with AI normalising and de-duplicating along the way.
Data Pipelines with AI
AI-enriched data pipelines — categorise transactions, summarise documents into search indexes, auto-tag CMS content, populate vector DBs for RAG.
AI Agents that Run Workflows
LangGraph / CrewAI / AutoGen agents that take a high-level goal and execute multi-step workflows with tool use, memory, and human-in-the-loop checkpoints.
The AI automation stack we build on
Automation platforms
Custom code
LLM frameworks
LLMs
Storage & DBs
Triggers
Targets
Observability
Work with us the way that fits your business
Single Workflow Pilot
One workflow built end-to-end in 2–3 weeks. Best for proving ROI before scaling.
- 1 workflow scoped
- AI step + integrations
- 30-day support
- Documentation
- Handover training
Automation Sprint
5–10 high-ROI workflows shipped in 8–12 weeks. Replaces the work of 1–3 full-time roles.
- 5–10 workflows
- Multi-system integrations
- Admin dashboard
- Documentation + training
- 3-month optimisation
Automation Retainer
Ongoing — we ship new workflows monthly, maintain existing ones, and tune AI as your business evolves.
- 1–3 new workflows / month
- Maintenance of all live workflows
- Model upgrades
- Quarterly review
- Priority support
From process audit to live automation in six weeks
Process Discovery
Week 1We shadow your team, map the 10–20 workflows that consume the most human hours, and rank by ROI × feasibility. Output: an automation roadmap.
Workflow Design
Week 2Per workflow: trigger, AI steps, integrations, exception handling, human-in-the-loop checkpoints, success metric. We design before we build.
Build & Test
Weeks 2–4Built on n8n / Make / Zapier — or custom Python where the workflow demands it. AI steps with proper prompts, evals, and cost guardrails.
Pilot & Measure
Week 5Run alongside the manual process for 1–2 weeks. Measure accuracy, time saved, error rate. Tune until the workflow is unambiguously better than human.
Launch & Operate
Week 6 onwardsCutover with full observability. Monthly retainer: monitor, tune AI prompts, ship new workflows, upgrade models — keep the savings compounding.
Why teams trust us with their AI automation
AI + workflow + integrations
Most automation shops know Zapier but not AI. Most AI shops know LLMs but not enterprise integrations. We do both production-grade.
ROI-ranked roadmap
We don't automate everything — we automate the workflows with the biggest hours-saved-per-week × success-probability. Numbers backed up by audit.
Owned by you
Source in your GitHub, workflows in your n8n / Make / Zapier account, AI keys in your name. We don't lock anything behind our login.
Right tool per workflow
Zapier for simple integrations, n8n for self-hosted complex flows, Make for visual orchestration, custom Python when the workflow demands it. We pick — not push.
Human-in-the-loop where needed
We add approval / review steps for high-stakes workflows (payments, contracts, customer-facing). AI for speed, human for safety.
Cost guardrails
Token budgets per workflow, model routing (Haiku/Mini for simple, GPT-4o/Claude for complex), caching. Automation must pay for itself month one.
AI automation for every industry
Frequently asked questions
What is AI workflow automation?
Combining traditional integration tools (n8n, Make, Zapier) with AI steps (LLMs) so workflows that previously required human judgement — reading emails, drafting replies, categorising tickets, extracting data — run automatically. Humans only review exceptions.
n8n vs Make vs Zapier vs custom Python — which is right?
Zapier: fastest for simple integrations between SaaS apps. Make: best visual orchestration for medium-complex flows. n8n: self-hosted, code-friendly, best for complex or data-sensitive flows. Custom Python (FastAPI/LangGraph): when workflows need full programmatic control, stateful agents, or strict performance. We pick per workflow.
How long does each workflow take to build?
Simple workflows (lead routing, ticket summarisation): 1–2 weeks. Medium (multi-step approval with AI steps): 2–4 weeks. Complex (multi-agent with tools, cross-system data flows): 4–8 weeks. Most clients ship 5–10 workflows in 8–12 weeks.
What does it cost?
Pilot workflow: ₹1L–₹3L ($1.2K–$4K) build + ₹5K–₹25K/month ($60–$300) hosting/AI. Automation sprint (5–10 workflows): ₹6L–₹18L ($7K–$22K). Automation retainer: ₹40K–₹2L/month ($500–$2.5K) for ongoing ship+maintain.
Can you integrate with our existing ERP/CRM?
Yes. We routinely connect Odoo, SAP, Microsoft Dynamics, NetSuite, HubSpot, Salesforce, Zoho, Pipedrive, Zendesk, Intercom, Freshdesk, Notion, Airtable, Google Workspace, Microsoft 365, and custom systems via APIs/webhooks.
What's the ROI of AI workflow automation?
We've seen single workflows save 10–40 hours/week per team — at typical ops salary that's ₹2L–₹8L/month per workflow. A pilot pays back in 1–3 months. We agree on a measurable ROI metric per workflow before building.
Will AI make mistakes? How do you handle it?
Yes occasionally — that's why we add: (1) human-in-the-loop checkpoints for high-stakes steps, (2) confidence thresholds that route low-confidence cases to humans, (3) automated evals on every prompt change, (4) full observability via Langfuse/LangSmith to spot drift.
Can the automations work 24/7 globally?
Yes. Hosted on AWS / Azure / GCP / Vercel with multi-region failover where required. Retainer plans include SLA-backed monitoring and incident response.
Ready to put your workflows on autopilot?
Free 30-minute automation audit. We'll rank your highest-ROI workflows and send a fixed-price proposal within 48 hours.