USA:
+1 (213) 233-1633
India:
+91-8910802928 | Email:
sales@ztsindia.com
Most AI projects don't fail on the technology — they fail on unclear strategy, unready data and a plan that stops at the demo. We assess what's genuinely possible with your data and systems, prioritise the use cases with real ROI, and hand you a costed roadmap that reaches production. Advice from engineers who ship, not slideware.
Trusted by startups, scale-ups & enterprises worldwide
AI rarely stalls because the model isn't clever enough. It stalls when strategy, data and execution aren't aligned. Click a panel to see the problem, how we fix it, and what changes.
Teams chase the loudest use case, budget goes to demos nobody adopts, and leadership can't say which initiative deserves the next rupee. Without a prioritised, costed plan, AI stays a science project.
Data sits in silos, quality is unknown and lineage is undocumented. Models grounded on that data produce answers nobody trusts — and the pilot quietly dies. In our experience this is the single biggest reason AI stalls.
Most pilots die between demo and production because nobody planned for evaluation, security, integration, running cost or the people who actually have to use it.
Your ERP, CRM, e-commerce store and internal tools hold the data and workflows AI needs to touch. Bolting a model on without an integration plan creates one more silo nobody opens.
Hallucinations, unclear data retention, no audit trail and no owner for AI risk. Legal blocks the launch — after the money is spent.
End-to-end consulting that takes you from "we should do something with AI" to a governed system running in production — and the engineering team to build it if you want one.
Before you invest, find out what's actually achievable with the data, systems and team you have today. A structured audit that tells you where you stand, what's missing and what it costs to close the gap — in plain language.
Turn a long list of AI ideas into a costed, sequenced plan tied to business metrics — so every initiative has an owner, a budget and a number it has to move.
Most AI failures are data failures. We build the pipelines, warehouses and governance that make your data usable for AI — and keep it that way as you scale.
Independent advice on where generative AI genuinely fits — which model, grounded in what data, at what running cost — plus the engineering to prove it before you commit.
A time-boxed pilot that answers one question honestly: does this work well enough to ship? Built on the same architecture as the production system, so a 'yes' means you're already halfway there.
Connect AI to the systems your business already runs on — ERP, CRM, e-commerce, portals and internal tools — securely, and without disrupting what already works.
Ship AI like software. Versioning, testing, monitoring and cost control so your models stay accurate — and affordable — long after launch day.
Ship AI that your legal, security and audit teams sign off on — with policy, controls and evidence in place from day one instead of bolted on at the end.
More than a decade delivering measurable results for enterprises, SMEs and technology companies worldwide.
How AI consulting translates into outcomes you can measure.
Challenge: Leadership had a backlog of AI ideas, no way to choose between them, and two earlier pilots that had quietly stalled.
Solution: A three-week readiness assessment, ROI scoring across all 22 candidate use cases, then a costed nine-month roadmap and one validated pilot.
Challenge: Clinical and administrative documents were scattered across systems. Staff lost hours searching, and compliance had blocked an earlier AI attempt.
Solution: A data audit and pipeline rebuild first, then a governed assistant over approved documents with citations and role-based access.
Challenge: A support chatbot demoed well for months but never launched — no evaluation, no integration plan, no owner.
Solution: We rebuilt it for production: evaluation harness, order-system integration, human handoff with context, and a phased rollout.
Get a free 30-minute readiness check. We'll tell you honestly what's feasible with your data, what it will cost, and what to fix first — no pitch.
We're model- and vendor-agnostic. The right choice depends on your accuracy, cost, latency and data-residency needs — not on what we resell.
Strong reasoning and multimodal support for broad, general-purpose applications.
Long-context understanding and safety — ideal for document-heavy, enterprise work.
Natively multimodal with tight Google Cloud and Workspace integration.
Open-source and self-hostable — for when data cannot leave your infrastructure.
Efficient open models offering a strong balance of speed, cost and quality.
Multi-model access inside your own AWS account, with enterprise controls.
Enterprise governance and regional data residency for regulated workloads.
Managed training, tuning and deployment on GCP.
A structured, low-risk path from discovery to production — with a decision point at every stage, so you're never committed to more than the next step.
Business goals, constraints and stakeholders. What does success actually look like?
Audit data, infrastructure, security and skills to establish real readiness.
Score and prioritise every use case on value, effort, data readiness and risk.
A costed, sequenced plan with KPIs, owners and a defensible business case.
A time-boxed proof of concept against success criteria agreed upfront.
Data pipelines, models, integrations and guardrails, built production-first.
Rollout, training and change management with the teams who'll use it.
Monitor accuracy, cost and drift; govern, iterate and scale what works.
Book a free, no-obligation consultation. We'll assess where you stand, recommend a realistic path and give you a costed plan — whether or not you build it with us.
Our consultants bring strategy, engineering and lifecycle management expertise — so the recommendation you get is one we can also build.
Forecasting, churn, risk scoring and recommendation systems built on your own historical data.
Classification, sentiment, entity and intent extraction to turn unstructured text into decisions.
Model selection, RAG architecture, prompt and evaluation strategy, fine-tuning where it earns its cost.
Detection, OCR, and quality inspection for physical and document-heavy workflows.
CI/CD for models, versioning, monitoring, drift detection and cost governance.
Pipelines, warehouses and lakehouses that make data usable for AI and stay maintainable.
Tool-using agents that complete multi-step work, with human approval where it matters.
Policy, guardrails, red-teaming, bias testing and audit trails for regulated environments.
Scalable, cost-aware deployments across AWS, GCP and Azure — cloud, hybrid or on-prem.
We stay current across a deliberately broad stack so the recommendation fits your architecture, budget and compliance boundary — not our comfort zone.
Domain-aware AI consulting built around your workflows, data realities and compliance obligations.
Beyond consulting, we build and run the systems we recommend. Explore our wider AI and data capabilities.
Custom LLM apps, RAG systems, chatbots and AI agents.
Predictive models, recommendation engines and forecasting.
Text classification, sentiment, entity and intent detection.
Image and video detection, OCR and quality inspection.
Pipelines, warehousing and BI to power your AI.
Conversational assistants for support, sales and internal ops.
The reason most of our clients come back for the next engagement.
"ZTS successfully built a well-designed website. The communication and effectiveness were great."
"I have to thank both Sharmila and Sourav for all their timely help in developing a World Class Website they were always ready to guide and help me and their support is really appreciated"
"Thanks to Zebra’s expertise Shopify developer who built my Shopify store. The user interface for managing tools is clear and concise, and easily accessible from the control panel. Also, they seamlessly transfered my old site from WIX to Shopify. I highly recommend ..."
"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
Ms. Shikha Bhatia shares her positive experience with Zebra Techies Solution, where she talks about how our Organic Social Media Management Services helped her brand achieve consistent engagement and authentic growth!
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!
Partner with a team that helps you move past experimentation and into secure, scalable, business-ready AI.
We don't hand over a deck and leave. Every recommendation comes from a team that has built and shipped the same thing.
We design for the constraints that kill pilots — evaluation, security, integration and running cost — from day one.
We don't resell anyone's platform. The recommendation is whatever fits your accuracy, cost and residency needs.
Most AI problems are data problems. We fix the foundation rather than build on sand and hope.
Guardrails, audit trails, retention policy and access control designed in — so legal signs off the first time.
Advisory-only, end-to-end delivery, or a dedicated AI pod embedded in your team. Scale up or down as the roadmap changes.
Tell us where you are. We'll come back with an honest assessment, a practical path and a transparent estimate — free.
At ZTS India, they cover four things: assessing whether your data and systems are ready for AI, identifying and prioritising the use cases worth pursuing, producing a costed roadmap tied to business metrics, and — if you want — engineering and deploying the solution. Some clients take only the strategy; others take us through to production.
Consulting decides what to build and whether it's worth building. Development builds it. Buying development without consulting is how you end up with an impressive demo nobody uses. We do both, which means our advice is grounded in what actually ships.
Typically two to three weeks, depending on how many data sources and systems are in scope. You get a readiness scorecard, a prioritised use-case list and a costed roadmap at the end of it.
Every candidate is scored on four axes: business value, data readiness, implementation effort and risk. The ones that score high on value and readiness go first — they fund the harder work later. We share the scoring model, so the decision is yours to challenge.
Almost everyone's is. It doesn't disqualify you — it just changes the sequence. We'll be direct about which use cases your current data can support today and which need a data foundation first, rather than promising results the data can't deliver.
No. Generative AI is right for some problems and expensive overkill for others. Plenty of high-ROI use cases are solved better by classical machine learning, good data engineering, or plain automation. We'll tell you when that's the case.
Yes. We design for privacy from day one — private deployments, strict access controls and clear data-retention policies. Where regulation demands it, we use models and cloud regions that keep your data inside your compliance boundary. NDA on request before any discovery work.
That's a common starting point and a useful one. We'll diagnose why it stalled — usually data, evaluation, integration or adoption rather than the model — and tell you whether it's worth reviving or replacing. Sometimes the honest answer is to stop.
Advisory-only for teams that just need direction; end-to-end delivery when you want one accountable partner; and dedicated AI pods embedded in your team when you need to scale capacity. You can move between them as the roadmap evolves.
It depends on scope. A readiness assessment and roadmap is a fixed-price engagement; delivery work is priced fixed-scope or as a monthly dedicated team. Book a free consultation and we'll give you a transparent estimate before you commit to anything.
