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Traditional automation handles the clean cases and dumps everything else in a queue for your team. We build AI automation that reads unstructured documents, copes with variation, makes judgement calls inside limits you set, and runs the process end to end across every system it touches — with a human in the loop exactly where you want one.
Enterprises, SMEs and fast-growing teams trust ZTS India
Most automation initiatives stall for the same reasons: they cannot handle real-world mess, they only cover part of the process, and nobody fixed the process first. Click a panel to see the challenge, how we fix it, and what changes.
Rule-based bots handle the clean 60% and fall over on everything else — a scanned invoice in a new layout, an email that phrases it differently, a case that needs judgement. The exception queue quietly grows until it costs more than the manual process did.
A single order touches the CRM, the ERP, a spreadsheet and an inbox. Automating one step just moves the bottleneck along — someone still copies data between the gaps.
The pilot proved it worked, then stalled — no reusable foundation, no ops ownership, and every new process means starting the plumbing from scratch. The business case assumed ten processes; you shipped one.
Your automation shuttles information around and then stops at the moment that matters — approve or reject, prioritise or defer, escalate or resolve. A human still reads everything to make a decision the data already implies.
Nobody mapped the process before automating it, so a workaround invented in 2019 is now encoded in software, running at machine speed, producing the same bad output — just more of it, and harder to change.
Scalable AI automation for businesses modernising operations, reducing manual dependency and improving execution speed across the workflows that actually run the company.
End-to-end automation of the multi-step processes that eat your week — triage, routing, data entry, reconciliation, reporting — across every system the process touches.
Agents that carry a task to completion rather than answering questions about it — planning, using your tools, and knowing when to stop and ask a human.
Turn invoices, POs, claims, contracts and scanned forms into structured data — including the messy layouts and poor scans that defeat template-based OCR.
Automate the judgement, not just the movement — approvals, prioritisation, routing and triage — using prediction, retrieval and your own business rules together.
Bring language understanding into workflows that were previously impossible to automate — reading email, summarising cases, drafting responses, classifying free text.
Automations that know your policies. Retrieval-grounded steps that apply the right rule from the right document — and cite it — instead of guessing.
Where full automation is the wrong answer, we build copilots that do the preparation and leave the judgement to your team — inside the tools they already use.
Autonomy needs brakes. Permission scoping, spend limits, approval gates, kill switches and audit logging so an agent can act without anyone losing sleep.
More than a decade delivering measurable results for enterprises, SMEs and technology companies worldwide.
Three processes that traditional automation could not finish.
Challenge: A template-based OCR tool handled clean invoices and dumped everything else into a review queue. Three staff spent their days on that queue.
Solution: Layout-aware extraction with confidence scoring per field, LLM validation against the PO, and human review only on genuinely low-confidence documents.
Challenge: Every shipment exception — delay, address failure, customs hold — was read and triaged manually. Volume doubled; the team could not.
Solution: An agent that reads the exception, retrieves the relevant policy, decides the action within set limits, and escalates only genuine edge cases.
Challenge: Staff assembled documentation by hand across four systems, then waited. Cycle time averaged three days and errors caused rework.
Solution: End-to-end orchestration across those systems with document extraction, policy retrieval, completeness checks and a human approval gate before submission.
Get a free 30-minute process assessment. We'll find where the hours actually go, which processes are worth automating, and which ones you should fix or delete instead — no pitch.
Automation is only worth doing if a number moves. These are the numbers our clients measure — baselined before we build, tracked after we ship.
Take the repetitive, high-volume work off your team so payroll goes into judgement, not data entry.
Processes that waited on someone opening an inbox now run the moment the trigger fires.
Machines do not get bored on the four-hundredth invoice. Consistency stops being a training problem.
Every decision applies the same rules to the same evidence — and can explain why it went that way.
Handle 2× the volume without 2× the team, so growth stops being a hiring problem.
Remove the queues and handoffs between steps, not just the time inside them.
Your experts spend their day on the 20% that actually needs a human brain.
Complete, replayable records of what happened and why — without anyone maintaining a spreadsheet.
A proven framework for designing, implementing and scaling automation that holds up in production — and earns trust before it earns autonomy.
Document the process as it really runs — volumes, exception rates, handoffs and the true cost baseline.
Score processes on volume, effort, feasibility and risk. Automate the ones that pay, first.
Remove the steps that should not exist. Never automate a workaround — redesign, then build.
Automation design, agent boundaries, human checkpoints, failure paths and rollback plan.
Engineer the automation, the extraction and the decision logic, with evaluation alongside.
Connect to every system the process touches, with least-privilege access and audit logging.
Shadow mode first — it runs beside your team and is measured before it is trusted to act.
Track exception rates, savings and accuracy. Tune, extend, and add the next process.
Book a free, no-obligation process assessment. We'll map where the effort goes, tell you honestly what's worth automating, and give you a costed plan with a realistic timeline.
Depth across AI, LLMs, agentic systems and enterprise automation architecture — so what we deploy performs reliably in real-world conditions, not just in a demo.
Planning, tool use, multi-step execution and recovery from partial failure — agents that finish the job.
Language understanding inside workflows: reading, classifying, summarising and drafting with structured output.
State machines, queues, retries and idempotency — the unglamorous engineering that keeps automation reliable.
Layout-aware extraction, OCR, confidence scoring and validation across messy, variable real-world documents.
APIs, middleware and event pipelines connecting CRM, ERP, e-commerce and legacy systems.
Prediction combined with business rules and thresholds, so automation can act and explain itself.
Deciding what a machine should never decide alone — and designing the handoff so it actually works.
Permission scoping, spend limits, approval gates, kill switches and full auditability.
Finding where the time actually goes, and which processes are worth automating at all.
A modern automation stack that sits alongside the tools you already run — including your existing RPA — rather than demanding you replace them.
Domain-aware generative AI built around your workflows and compliance needs.
Generative AI is one part of what we do. Explore our wider AI & data capabilities.
Readiness assessment, use-case prioritisation and a costed roadmap.
Connect AI to your CRM, ERP and existing workflows.
Production-grade LLM, RAG and agent systems.
Bespoke ML, vision and decision systems trained on your data.
Custom LLM apps, RAG systems, chatbots and AI agents.
Pipelines, warehousing and BI to power your AI.
The reason 95% of our clients come back for their next project.
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"Thanks to ZTS developers, highly experienced and skilled to develop web applications with API integrations. I was expecting user-friendly options for both web app development and UI/UX designs and they provided me with that. And, the most impressive thing I found is ..."
They delivered beyond expectations — our project saw real growth thanks to ZTS Infotech's passion and commitment
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They went above and beyond to support us during challenging times. The ZTS Infotech team delivered with dedication, professionalism, and care — truly a partner we can count on!
They helped us turn hurdles into wins — Sam's e-commerce transformed thanks to ZTS's committed support
Outstanding collaboration and flawless execution — ZTS Infotech made the entire process smooth and truly result-driven!
A partner that automates processes rather than tasks — and proves the savings instead of promising them.
We automate the process end to end. Automating one step just moves the bottleneck somewhere less visible.
15+ years connecting CRMs, ERPs and legacy systems — long before agents existed. The plumbing is the hard part.
Unstructured input, variation and judgement — the work that defeats traditional RPA is where we start.
Shadow mode, approval gates, kill switches and rollback paths. Automation earns trust before it earns autonomy.
We baseline the process before we touch it, so the savings are a number, not a claim in a case study.
Least-privilege access, spend limits, complete audit trails and data-retention policy agreed upfront.
Tell us which process is eating your team's week. We'll come back with an honest view of what can be automated, what should be fixed first, and a transparent estimate — free.
Traditional RPA follows fixed rules on structured data — it is fast and reliable until something varies, then it stops. AI automation handles unstructured input like scanned documents and email, copes with layouts and phrasings it has not seen, and makes judgement calls within limits you define. In practice RPA automates the clean cases; AI automation handles the messy ones RPA hands back to your team.
Within boundaries you set, yes. We define what it may decide alone, what needs approval and what always goes to a human, then add confidence thresholds so uncertain cases escalate automatically. The goal is not removing humans from the process — it is making sure humans only see the cases that genuinely need them.
No, and usually you should not. UiPath, Power Automate and similar tools are good at what they do. We typically add an AI layer that handles the documents and decisions your bots currently reject, and let the existing automation keep doing the structured work it already handles well.
High volume, high manual effort, well understood, and tolerant of a phased rollout. We score your candidates on volume, effort, feasibility and risk during the assessment. The first automation should be the one that pays for the second — not the most technically interesting.
It replaces tasks, not usually people — but we will be straight with you: if a role is entirely repetitive data entry, automation changes that role. In most engagements the team stays and stops doing the drudgery, absorbing volume growth that would otherwise have meant hiring. Deciding that is a leadership call, and it should be made openly before the project starts, not discovered afterwards.
A single well-understood process typically goes live in six to ten weeks, including shadow-mode running. Document-heavy or multi-system processes take longer. Because we build the first one as a platform, later processes ship considerably faster.
Least-privilege permissions so it can only touch what the process needs, hard limits on actions and spend, approval gates above thresholds you set, a kill switch, and a full audit trail we can replay. Then shadow mode: it runs alongside your team, making recommendations nobody acts on, until the numbers earn it the right to act.
Yes, including the awkward ones. Layout-aware extraction handles invoices, POs, claims and contracts across varying formats and poor scans, with per-field confidence scoring so low-confidence extractions go to review rather than silently into your database.
We baseline the process before building — volume, time per case, exception rate, error rate and cost. The same measures run in production, so you can see straight-through rates, time saved and cost per case on a dashboard rather than taking our word for it.
It depends on process complexity, document variety and how many systems are involved. We price a fixed scope after the process assessment, or provide a dedicated team monthly for an ongoing backlog. The initial assessment call is free.
