Zethic provides AI Workflow Automation Services in Bangalore for operations and product teams running on outdated manual processes. This work sits alongside our broader Artificial Intelligence Services, covering agentic development, machine learning, and AI consulting for teams that need more than one workflow fixed.
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80+
Workflows Automated
60+
Engineers In-House
96%
Client Retention
Built for Bangalore teams at different stages of the same problem.
What we automate, in Bangalore.
Zethic designs, builds, and operates AI Workflow Automation Services in Bangalore for teams running everything from a single approval workflow to a full multi-agent platform.
Your process, stack, and volume reviewed before any commitment.
Process mappingIntegration auditRanked target listRealistic timeline
We review your process, tooling stack, and volume to flag the highest-value automation targets, integration complexity, and a realistic timeline before any commitment, the same method behind our AI consulting and audit services.
Rules plus AI classification for the messy exceptions.
AI classificationDecision logicException handlingBeyond rule bots
Rules, AI classification, and decision logic combine to handle unstructured inputs and messy exceptions that plain rule-based bots common across Bangalore back offices cannot manage.
Agents that classify, route, and recommend, with observable traces.
GuardrailsEval harnessesDecision tracesApproval routing
AI agents interpret instructions, classify, route, and recommend approvals across multi-step processes, shipped with guardrails, eval harnesses, and observable decision traces.
Extraction, validation, and routing into structured data.
ExtractionValidationRouting pipelinesStructured output
Extraction, validation, and routing pipelines turn invoices, contracts, and forms into structured data, using the connector approach behind our data engineering services.
CRM, ERP, HRMS and third-party APIs with retry logic and monitoring.
CRM/ERP/HRMS connectRetry logicSchema validationMonitoringThird-party APIs
We connect your CRM, ERP, HRMS, and third-party APIs with retry logic, schema validation, and monitoring, drawing on our custom application development services.
Pipelines that end the Monday-morning MIS scramble.
Scheduled emailLive dashboardsEmbedded viewsEnds MIS scramble
Automated pipelines pull from your operational systems and push results to scheduled email, live dashboards, or embedded views, ending the Monday-morning MIS scramble for good.
Start with the layer causing the most friction today.Then expand once the first workflow proves its value.
What we automate, across your operations.
Different SaaS, fintech, and IT services processes, same engineering discipline. You get the same senior pod, eval cadence, accuracy benchmarks, and full ownership at handover.
Replace ten spreadsheets with one source of truth.
Extraction, validation, and three-way matching across high-volume Zoho and Tally invoices, with exception routing and a human review queue.
OCR and AI classification that turn contracts, NDAs, and vendor forms into structured, validated data wired into your back-office systems.
Document collection, compliance checks, approval routing, and ERP provisioning handled end-to-end instead of over scattered email threads.
Where money actually moves through your product.
Order capture, fulfilment triggers, and reconciliation automated across systems, so revenue operations stop depending on manual data entry.
Agentic workflows that assemble quotes and proposals from your pricing data and templates, with approval recommendations built in.
Renewal tracking, dunning, and contract workflows that run on schedule and escalate only the cases that need a human.
What your end users actually touch.
Agentic classification of inbound support communications by intent, urgency, and product area, routed to the right team within seconds.
Automated pipelines that pull from operational systems and push results to scheduled email, live dashboards, or embedded analytics views.
Scheduled extraction, transformation, and submission with a full audit trail.
Who we serve in Bangalore.
Why teams pick us in Bangalore.
We map your workflow before recommending a framework, so services are scoped correctly from sprint one and don't need a redesign once real production data appears.
Your workflow definitions, integration credentials, and cloud infrastructure stay inside your own accounts. Everything delivered is portable and documented for independent operation after handover.
A fast system that produces wrong outputs or fails silently is a production risk, not a win. We set accuracy benchmarks against your real data and build monitoring in from day one.
The senior automation engineers who assess your workflows are the same people who build and ship them, not a junior bench handed the project after the kickoff call.
Four steps, no guesswork. A ranked target list, working demos, and benchmarked accuracy before launch.
Start Now{ 01 }· 4-8 weeks total
We map your process end to end: inputs, decision points, exception paths, and connection points. You leave with a ranked automation target list and a realistic delivery scope.
{ 02 }· 2-week sprints
We build extraction pipelines, agent logic, integration connectors, and monitoring in two-week sprints, with working demos in a staging environment mirroring production.
{ 03 }· Pre-launch
We test the system against your real document samples and live scenarios, measure it against agreed benchmarks, run UAT with your team, and resolve edge cases before launch.
{ 04 }· Post-launch
A staged rollout with real-time monitoring, an on-call handover, and a post-launch review cycle where we tune models and routing logic based on live signals.
Engagement models, built to fit.
A single workflow build typically runs a fixed price for a four-to-eight-week timeline. Many startups start with one workflow and add more as volume grows, without a rebuild each time.
A single workflow, extraction pipeline, or approval routing system scoped after a short assessment call and delivered as a defined fixed price within four to eight weeks.
An embedded senior pod that keeps building as headcount and volume grow — additional workflows, agents, and integrations added without a rebuild each time.
Questions, answered.
Both. A good share of our Bangalore clients are product and SaaS companies automating internal ops rather than customer-facing features. Project size scales down to a single workflow, so an early-stage team doesn't need an enterprise budget to start.
Yes. Zoho Books, Zoho CRM, Tally, and Indian payment gateway APIs are a routine part of our integration work, alongside global tools like Salesforce and SAP.
A single workflow, extraction pipeline, or approval routing system typically reaches production in four to eight weeks from the first assessment call, with a working demo shown every two weeks along the way.
Yes. GST-aware invoice matching, DPDP Act data handling, and PII redaction are built into the pipeline design rather than added afterward, particularly for finance and HR workflows.
Yes. We run discovery and architecture sessions in person for Bangalore clients on request, then move to remote sprint delivery with weekly demos, which keeps cost and timeline predictable.
A single workflow build typically runs a defined fixed price for a four-to-eight-week timeline, scoped after a short assessment call rather than quoted blind.
Yes. A fair number of Bangalore manufacturing-adjacent and enterprise clients still run an on-prem ERP or an older system with thin documentation. Security-sensitive integrations are reviewed against our AI and LLM security services checklist.
Yes. Many startups start with one workflow and add more as volume grows, without a rebuild each time, which keeps AI Workflow Automation Services affordable at an early stage.
Start with the layer causing the most friction today. Book a short assessment call and leave with a ranked automation target list and a realistic timeline.
Book a Call
A short assessment call to map your process, tooling, and volume — no blind quoting.
Get Your Roadmap
You leave with a ranked automation target list and a realistic delivery scope.
Ship the First Workflow
A working first workflow live inside six weeks, with demos every two weeks.
Start with the layer causing the most friction today. Book a short assessment call and leave with a ranked automation target list and a realistic timeline.
