AI Strategy Development
An AI strategy tied to business goals, with priorities your leadership team agrees on.
- Leadership and team workshops
- Opportunity mapping by function
- Value and feasibility scoring
- Board-ready strategy document
AI Capabilities
AI consulting that turns ideas into a plan you can fund.
We connect business goals to the right AI options — assessing readiness, prioritising use cases and shaping the architecture, governance and roadmap your leadership can sign off.
Trusted by enterprises and fast-growing startups
Our core capabilities
Strategy grounded in engineering reality
Our consultants are engineers who ship AI to production, so every recommendation is checked against your data, systems, budget and regulatory exposure — not just a slide deck.
Frameworks we align withNIST AI RMFISO/IEC 42001EU AI ActDPDP Act 2023GDPRHIPAA
AI opportunity discovery
Workshops across teams to find where AI moves the numbers.
Readiness assessment
Data, infrastructure, skills and process gaps made visible.
Use-case prioritisation
Business cases with effort, value and risk side by side.
Build vs buy advice
Platform, model and vendor choices with trade-offs explained.
Responsible AI and governance
Policies, controls and oversight that satisfy legal and IT.
Roadmap and investment plan
Phased plan with milestones, budget and success metrics.
Services
Consulting that de-risks every decision
Open a service to see what you receive. Each one stands alone or feeds straight into the next.
AI Readiness Assessment
A clear picture of whether your data, platforms and people are ready — and what to fix first.
- Data quality and access review
- Infrastructure and security review
- Skills and operating-model gaps
- Remediation plan
AI Proof of Concept
A working prototype on your own data that proves accuracy and value before the big spend.
- Success criteria agreed up front
- Prototype on real data
- Accuracy, cost and latency report
- Go / no-go recommendation
Generative AI Consulting
Find and de-risk the GenAI use cases that matter — from assistants to content and code.
- Use-case and risk assessment
- Model and platform selection
- RAG and grounding design
- Cost and safety guardrails
Machine Learning Consulting
Forecasting, scoring and optimisation models scoped around measurable outcomes.
- Problem framing and KPIs
- Feature and data strategy
- Model approach and evaluation plan
- MLOps and monitoring design
AI Governance Consulting
Policies, controls and oversight so AI is used safely, fairly and in line with regulation.
- AI policy and acceptable use
- Risk and impact assessments
- Model documentation and audit trails
- Human oversight design
Struggling to turn AI ideas into a clear plan?
Spend a working session with our consultants and leave with a shortlist of use cases worth pursuing.
Build your AI roadmapIndustries we serve
Advice shaped by your sector
Regulation, data and economics differ by industry — and so do the AI opportunities worth funding first.
- HealthcareClinical documentation, patient triage and imaging assistance use cases assessed for safety.
- BFSIFraud detection, credit risk and KYC automation with explainability built in.
- Retail and eCommerceDemand forecasting, personalisation and pricing strategy.
- LogisticsRoute optimisation, ETA prediction and warehouse planning.
- ManufacturingPredictive maintenance, visual inspection and yield improvement.
- EducationTutoring assistants, content generation and student-success models.
- Real EstateValuation models, lead qualification and portfolio analytics.
- Travel and HospitalityDynamic pricing, guest assistants and demand planning.
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 studyWhy Pyzen
Not the usual consulting playbook
Where AI programmes usually stall — and what we do differently from the first workshop.
What often happensHow Pyzen works
A tool is chosen first and the problem is bent to fit it.
Opportunity before technologyWe start from the business outcome and the cost of the process today, then choose the AI approach — not the other way round.
A model is picked before data flows and security are understood.
Architecture before model selectionData flows, security and integrations are designed first, so models can be swapped as better ones arrive.
A large build is funded on a slide-deck business case.
Proof before full buildA working pilot on your own data proves value and accuracy before the larger investment is committed.
Existing systems are replaced or quietly worked around.
Built around your systemsWe extend the CRM, ERP, cloud and data platforms you already run instead of asking you to replace them.
Automation runs with little visibility and no easy override.
Human oversight by designApproval steps, confidence thresholds and audit trails keep people in control of the decisions that matter.
Strategy is handed over, and delivery starts again from scratch.
From strategy to supportThe same senior team takes you from roadmap to production, then monitors, retrains and improves what we built.
Our roadmap
From first workshop to funded roadmap
Drag, swipe or use the arrows to walk through the engagement. Every stage ends with something leadership can review.
Business needs assessment
We learn your goals, constraints and the metrics leadership cares about.
AI opportunity discovery
Workshops across functions surface where AI can remove cost or create revenue.
Readiness and gap analysis
Data, systems, skills and processes are reviewed against each opportunity.
Use-case prioritisation
Opportunities are scored on value, feasibility and risk to pick the first wave.
Strategy and technology advisory
Architecture, platforms, models and build-vs-buy decisions are made with you.
Governance, risk and compliance
Policies, controls and oversight are designed for your regulatory exposure.
Pilot and implementation guidance
A proof of concept validates the plan, and we guide the build that follows.
Scale and continuous improvement
Results are measured, the roadmap is refreshed and new use cases are added.
Engagement options
Pick the way you want to work
Start with a fixed-scope sprint, then move to another model as the roadmap grows.
Fixed-scope project
A defined outcome, timeline and price — ideal for assessments, pilots and well-understood builds.
Best for pilots and auditsDiscuss this optionDedicated AI team
Engineers, data scientists and a delivery lead working as an extension of your own team.
Best for ongoing roadmapsDiscuss this optionMilestone-based engagement
Budget released stage by stage, each stage tied to a measurable result you sign off.
Best for phased programmesDiscuss this optionSupport and optimisation
Monitoring, retraining, cost tuning and new use cases on a monthly retainer.
Best for live AI systemsDiscuss this optionTechnology
Vendor-neutral advice on the stack
We recommend from what we have shipped, not from partner quotas.
AI and ML
- OpenAI
- Claude
- Gemini
- Llama
- Hugging Face
- PyTorch
- scikit-learn
Data
- Snowflake
- Databricks
- BigQuery
- PostgreSQL
- Pinecone
Cloud
- AWS
- Microsoft Azure
- Google Cloud
MLOps and monitoring
- MLflow
- Kubeflow
- Weights & Biases
- Grafana
Compliance
Governance your board can sign off
Hover or focus a framework to see what we cover.
- NIST AI RMFRisk identification, measurement and management across the AI lifecycle.
- ISO/IEC 42001Management-system controls for responsible AI development and use.
- EU AI ActRisk classification, transparency and documentation for systems used in the EU.
- DPDP Act 2023Consent, purpose limitation and data-principal rights under India's data protection law.
- GDPRLawful basis, data minimisation and data-subject rights for EU personal data.
- HIPAASafeguards for protected health information in healthcare workflows.
- SOC 2Security, availability and confidentiality controls for hosted systems.
- PCI DSSProtection of cardholder data wherever payments are touched.
Know what your AI investment may look like.
Get a phased cost breakdown for your priority use cases — from proof of concept to scale.
How much do AI consulting services cost?
A focused readiness assessment or strategy sprint is usually a fixed-price engagement. Broader programmes are priced by phase, so you only commit to the next step once the previous one has delivered.
How long does an AI consulting engagement take?
A strategy or readiness sprint typically takes a few weeks. A proof of concept follows in a similar timeframe, depending on data access and integrations.
Do we need clean data before we start?
No. Part of the assessment is finding out what data you have, how usable it is and what it would take to close the gaps for each use case.
Can you also build what you recommend?
Yes. Our consultants and engineers work as one team, so the same people who shape the roadmap can deliver the pilot and the production system.
How do you handle AI risk and compliance?
We assess each use case against frameworks such as the NIST AI RMF, ISO/IEC 42001, the EU AI Act and India's DPDP Act, and design human oversight, documentation and audit trails accordingly.
Related capabilities
Explore more AI capabilities
Most programmes combine several of these. We help you choose the right mix.
Start a conversation
Let's talk about AI Consulting.
Emailsales@pyzenlabs.com
Phone+91 99718 38777
NoidaSector 62, Uttar Pradesh
GurugramUdyog Vihar, Haryana