Video by Vecteezy

AI Capabilities

AI automation that runs your busiest workflows.

We design and build AI-driven automations that read documents, make routine decisions and update your systems — so your teams spend their time on exceptions, not keystrokes.

Trusted by enterprises and fast-growing startups

DG Rakshak Passifi Tech JoolKart Daikin Manufacturing Blue Cross Blue Shield Max Life Insurance DG Rakshak Passifi Tech JoolKart Daikin Manufacturing Blue Cross Blue Shield Max Life Insurance

Our core capabilities

Automation that goes beyond rules and scripts

Traditional RPA breaks the moment an input changes. We combine language models, document understanding and workflow engines so automations cope with real-world variety — and know when to ask a person.

  • Process discoveryFind the repetitive work worth automating and what it costs today.
  • AI decisioningModels classify, score and route work the way your best people would.
  • Document and email understandingRead invoices, forms and inboxes without templates.
  • Agentic workflowsMulti-step work across systems, with tools called safely.
  • Human-in-the-loopUnclear cases wait for a reviewer with full context.
  • Monitoring and auditEvery run logged, measured and reversible.

Services

AI Automation services, end to end

Choose a service to see what we deliver. Every engagement can start small and grow with the results.

Workflow Automation

End-to-end automation of multi-step business processes across the tools your teams already use.

  • Process mapping and automation scoring
  • Triggers from email, forms, webhooks and schedules
  • Branching logic with AI decisions
  • Retries, alerts and full audit logs
Explore Workflow Automation services Discuss Workflow Automation
Laptop showing a live operations dashboard
Workflow Automation

Not sure which process to automate first?

We score your processes by effort, risk and return and hand you a shortlist you can act on.

Book an automation audit

Industries we serve

AI Automation built for your sector

Use cases we adapt to the data, workflows and regulations of each industry.

BFSI

Loan document intake, KYC checks and reconciliation run without manual keying.

Healthcare

Referral intake, prior authorisation and billing follow-ups handled end to end.

Retail and eCommerce

Order exceptions, returns and catalogue updates resolved automatically.

Logistics

Proof-of-delivery capture, dispatch updates and freight invoice audits.

Manufacturing

Purchase orders, quality reports and maintenance tickets routed by AI.

Real Estate

Lead routing, document collection and lease abstraction.

Education

Admissions processing and student support queries answered fast.

Telecom

Provisioning requests and service tickets triaged and actioned.

Our success stories

Problems solved, in production

Real projects across AI, data, healthcare and commerce — from the first workshop to a live system.

Healthcare tech

Patient Data Migration

Secure enterprise migration of legacy patient health records to modern cloud infrastructure under strict compliance.

Read case study
Medical AI research

Breast Cancer Detection AI

Clinical-grade diagnostic and imaging assistance for cancer research — CNN classification combined with U-Net segmentation.

Read case study
E-commerce innovation

E-Commerce Website

Multi-vendor digital storefront and catalogue system for high-value designer commerce.

Read case study
Industrial IoT

IIoT Data Pipeline & Dashboard

Predictive anomaly detection and telemetry aggregation pipelines optimised for industrial manufacturing environments.

Read case study
Climate tech

Climate Data Classification

Large-scale climate intelligence and environmental classification platform for advanced data processing.

Read case study
Insurtech solutions

Health Data Visualization

Secure analytics suite and health data visualisation platform for high-volume enterprise tracking.

Read case study

Why Pyzen

Why enterprises choose Pyzen for AI Automation

Senior engineers, practical roadmaps and safety built in — so AI moves from idea to measurable result.

Opportunity before technology

We start from the business outcome and the cost of the process today, then choose the AI approach — not the other way round.

Architecture before model selection

Data flows, security and integrations are designed first, so models can be swapped as better ones arrive.

Proof before full build

A working pilot on your own data proves value and accuracy before the larger investment is committed.

Built around your systems

We extend the CRM, ERP, cloud and data platforms you already run instead of asking you to replace them.

Human oversight by design

Approval steps, confidence thresholds and audit trails keep people in control of the decisions that matter.

From strategy to support

The same senior team takes you from roadmap to production, then monitors, retrains and improves what we built.

Our roadmap

How our AI Automation engagement unfolds

Every stage ends with something you can see and measure, so the business case is proven before the larger spend.

  1. Discover

    We map the process, the systems involved, volumes and what the manual work costs today.

  2. Prioritise

    Each candidate is scored on effort, value and risk, and one pilot is chosen together.

  3. Design

    Flow, data access, guardrails and the success metric are agreed in writing.

  4. Pilot

    A working automation runs on your real data alongside the current process.

  5. Scale

    Integrated, access-controlled and rolled out in stages with your teams trained.

  6. Optimise

    Accuracy and savings are monitored, and new processes are added as they prove out.

Engagement options

Scalable ways to work together

Pick the model that matches your budget, timeline and how much of the work you want to own.

Project plan and wireframes pinned to a wall
Engagement options

Fixed-scope project

A defined outcome, timeline and price — ideal for assessments, pilots and well-understood builds.

Best for pilots and audits
A team working together on laptops
Engagement options

Dedicated AI team

Engineers, data scientists and a delivery lead working as an extension of your own team.

Best for ongoing roadmaps
A roadmap session with sticky notes on a whiteboard
Engagement options

Milestone-based engagement

Budget released stage by stage, each stage tied to a measurable result you sign off.

Best for phased programmes

Technology

The stack behind our AI Automation work

Proven platforms and frameworks, chosen for your environment — never locked to one vendor.

n8nTemporalApache AirflowPower AutomateUiPathCamunda

Compliance

Responsible AI, by design

We design to the frameworks your legal, risk and IT teams rely on, with documentation and audit trails at every stage.

NIST AI RMF

Risk identification, measurement and management across the AI lifecycle.

ISO/IEC 42001

Management-system controls for responsible AI development and use.

EU AI Act

Risk classification, transparency and documentation for systems used in the EU.

DPDP Act 2023

Consent, purpose limitation and data-principal rights under India's data protection law.

GDPR

Lawful basis, data minimisation and data-subject rights for EU personal data.

HIPAA

Safeguards for protected health information in healthcare workflows.

SOC 2

Security, availability and confidentiality controls for hosted systems.

PCI DSS

Protection of cardholder data wherever payments are touched.

See your automation running on your own data.

A fixed-price pilot shows accuracy and savings before you commit to a full rollout.

Start a pilot

FAQ

Questions buyers ask us

Anything else? Ask an expert →

How much does an AI automation project cost?

It depends on the process, the systems involved and the quality of your data. Most clients start with a short audit and a fixed-price pilot, so you see a working result before committing to a full build.

How is this different from RPA?

RPA follows fixed rules on fixed screens. AI automation understands unstructured inputs such as emails and documents, makes judgement calls within limits you set, and connects through APIs — so it breaks far less often.

How quickly can we go live?

A focused pilot typically runs in weeks. Production timelines depend on integrations and security reviews; we agree milestones and launch criteria up front.

What happens when the AI is unsure?

Every decision carries a confidence score. Below your threshold, the case is routed to a person with the context already gathered, and their decision is used to improve the model.

Will automation replace our staff?

In practice it removes repetitive keying and checking, so the same team handles more volume and spends time on customers and exceptions.

Start a conversation

Let's talk about AI Automation.

Emailsales@pyzenlabs.com Phone+91 99718 38777
NoidaSector 62, Uttar Pradesh
GurugramUdyog Vihar, Haryana

A senior consultant replies within one business day.