Teams talk about “adding AI” but don’t have concrete workflows, KPIs, and constraints defined—so pilots drift or never launch.
We build practical AI — agents, copilots, and WhatsApp workflows wired to your KPIs. Models that prioritise leads, flag risk, recommend next actions, or score tickets — embedded directly into your tools with governance, approvals, and clear metrics.
We design, build, and run custom AI applications that sit on top of your existing tools—automating workflows, decisions, and conversations without forcing a full system rebuild.
Most teams have plenty of AI ideas but struggle to turn them into reliable, production-grade applications that plug into day-to-day work. We focus on the execution gaps that block value.
Teams talk about “adding AI” but don’t have concrete workflows, KPIs, and constraints defined—so pilots drift or never launch.
CRMs, ERPs, ticketing tools, and spreadsheets don’t talk to each other cleanly, making it hard for AI to act on a complete picture.
Proof-of-concept bots or dashboards look good in demos but lack governance, monitoring, and ownership—so they’re never trusted in real operations.
We don’t push a single product. We design an AI layer that wraps around your existing tools—copilots, automations, and decision systems that your teams can actually use on Monday morning.
Domain-specific assistants for support, sales, operations, or internal teams that answer questions, trigger actions, and escalate when needed.
Models that prioritise leads, flag risk, recommend next actions, or score tickets— embedded directly into your existing systems.
Extraction, summarisation, and question-answering over contracts, SOPs, reports, and domain knowledge—secure and access-controlled.
Multi-step automations that create, update, and sync records across tools with humans in the loop for approvals and exceptions.
Clean connectors and events that let AI see what’s happening across CRM, ERP, ticketing, and custom systems—without brittle one-off scripts.
Clear control surfaces: rate limits, kill switches, logging, and dashboards so you can see how AI is behaving and step in instantly if needed.


Share 2–3 key workflows, the tools you currently use, and your top KPIs. We’ll map concrete AI application ideas, effort levels, and expected impact—no generic “AI transformation” decks.
Every build is tied to numbers that matter—manual effort, response times, error rates, and revenue impact. Not just “AI usage” charts.
Fewer repetitive updates, reconciliations, and follow-ups across support, sales, finance, or operations workflows.
Quicker responses to customers, faster approvals, and shorter internal turnaround times without burning out the team.
Cleaner records, fewer missed updates, and better visibility into what’s happening day-to-day across your core systems.
A delivery model that respects your existing tools, security posture, and teams—while actually getting AI into production, not stuck in slides.
We build AI copilots, chat interfaces, automations, decision-support engines, document understanding tools, and custom agents—always tailored to your domain, tools, and workflows rather than a generic product.
We integrate with the systems you already use—CRMs, ERPs, ticketing tools, data warehouses, and internal apps—using APIs, webhooks, and event pipelines. The goal is to wrap AI around what works, not replace everything.
Simple assistants or workflow automations can go from definition to pilot in 4–8 weeks. Larger, multi-workflow applications with deep integrations may take 8–16 weeks depending on scope and dependencies.
We stay model-agnostic: OpenAI, Anthropic, open-source LLMs, vector databases, orchestration frameworks, and your existing data stack. The architecture is designed around your requirements, not one vendor’s roadmap.
We minimise sensitive data flowing to models, respect your regional regulations, and align with your security and legal teams on access controls, logging, retention, and vendor selection before we ship anything.
In many engagements we act as an AI-specialist product and engineering squad: co-designing architecture, building core components, and enabling your internal teams to extend and own the applications over time.
We define success up front: hours saved, tickets resolved, revenue uplift, error reduction, response times, or other hard metrics. Dashboards and before/after benchmarks are part of the rollout, not a nice-to-have.
Share where you are today, what you’re trying to ship, and the constraints you’re working with. We’ll map a practical path – whether it’s AI, digital products, or FieldLite.

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Whizzystack Solutions
B-61, Sector 67, Noida, Delhi-NCR 201301
Phone: +91 95 6064 1297 | 0(120) 428 7309
E-mail : info@whizzystack.co
Web: www.whizzystack.co
All queries
Whizzytack Solutions
B-61, Sector 67, Noida, Delhi-NCR 201301
Phone: +91 95 6064 1297 | 0(120) 428 7309
E-mail : info@whizzystack.co
Web: www.whizzystack.co
All queries
Whizzytack Solutions
111, Pemberton BLVD, Brown Mills, NJ 08015 US
Phone: +91 95 6064 1297 | 0(120) 428 7309
E-mail : info@whizzystack.co
Web: www.whizzystack.co
All queries
E-mail: info@whizzystack.co
Web: www.whizzystack.co
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