Put AI to work.
Make it count.

Move from promising experiments to dependable AI capabilities embedded in real business workflows engineered for value, trust and scale.

AI Orchestrated
Trusted data
Applications
Trust controls
Production pathway
  • Outcome defined
  • Knowledge connected
  • Human oversight active

Strategy

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Data Foundations

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AI Engineering

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Integration

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Governance

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Continuous Improvement

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A prototype proves AI can work. We engineer what happens next.

Enterprise value depends on choosing the right opportunity, connecting trusted data, integrating with the way people work and managing quality, security and cost over time.

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Value

Prioritize use cases tied to clear business outcomes and practical measures of success.

Data & context
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Data & Context

Give AI access to relevant, reliable information with the right permissions and controls.

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Integration & Adoption

Embed intelligence into the applications, decisions and workflows people already use.

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Trust & control

Design for evaluation, security, privacy, human oversight and ongoing monitoring.

Enterprise AI services from strategy to scale.

Choose a service pillar to explore how Persivate connects intelligence to the enterprise.

AI Strategy & Readiness

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Generative AI & Knowledge

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AI Agents & Workflows

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AI Application Engineering

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Machine Learning & Predictive AI

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AI Engineering, MLOps & Responsible AI

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AI Strategy and Readiness

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Opportunity discovery

Readiness assessment

Use-case prioritization

Roadmap

Governance planning

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Generative AI & Enterprise Knowledge

Create copilots, assistants and knowledge experiences grounded in the information your organization trusts.

Enterprise copilots

Retrieval-augmented generation

Intelligent search

Document intelligence

Content workflows

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AI Agents & Intelligent Workflows

Design supervised agents that can understand context, use approved tools and coordinate actions across defined workflows.

Task-specific agents

Tool integration

Orchestration

Approval paths

Exception handling

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AI Application Engineering

Build AI into new and existing digital products so people can access intelligence in the flow of work.

AI-enabled applications

Conversational experiences

Decision support

Recommendations

Application integration

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Machine Learning & Predictive AI

Apply proven machine-learning methods when forecasting, classification, anomaly detection or optimization is the better fit.

Forecasting

Risk scoring

Recommendations

Optimization

Anomaly detection

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AI Engineering, MLOps & Responsible AI

Engineer the data pipelines, deployment practices and controls needed to operate AI solutions reliably over time.

Model evaluation

CI/CD

Observability

Cost monitoring

Lifecycle management

An outcome-led path from opportunity to operation.

A structured delivery path keeps business value, technical quality and responsible operation connected from the first conversation onward.

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Discover

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Assess

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Design

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Build & Validate

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Deploy & Improve

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Stage 01 · Discover

Define The Value

Clarify the business problem, target users, value hypothesis and practical measures of success.

Designed through every stage

Security

Privacy

Responsible AI

Human oversight

Observability

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Stage 02 · Assess

Understand Readiness

Evaluate data, applications, architecture, risk, change readiness and delivery feasibility.

Designed through every stage

Security

Privacy

Responsible AI

Human oversight

Observability

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Stage 03 · Design

Shape The Solution

Choose the right AI approach and design the experience, integrations, controls and operating model.

Designed through every stage

Security

Privacy

Responsible AI

Human oversight

Observability

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Stage 04 · Build & validate

Engineer With Evidence

Build the solution and test quality, security, performance, usability and business fit against agreed criteria.

Designed through every stage

Security

Privacy

Responsible AI

Human oversight

Observability

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Stage 05 · Deploy & improve

Operate And Learn

Integrate into production, support adoption and monitor technical and business performance over time.

Designed through every stage

Security

Privacy

Responsible AI

Human oversight

Observability

Apply AI where it can change the work.

Explore practical opportunities by business function. Each starts with the workflow and the outcome not a predetermined model.

Customer experience

Employee productivity

Operations

Finance & risk

Supply chain

Software engineering

Make every interaction more useful.

Bring relevant knowledge and recommendations into the moments that shape customer experience.

Service copilots

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Intelligent self-service

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Personalized experiences

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Sentiment & interaction analysis

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Put trusted knowledge in the flow of work.

Help people find, understand and use enterprise information with less friction.

Enterprise knowledge assistants

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Intelligent search

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Drafting & summarization

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Learning support

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Turn complex work into visible, intelligent flow.

Interpret documents and exceptions, support decisions and coordinate the next best action.

Document processing

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Exception management

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Workflow decision support

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Predictive operations

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Increase clarity across finance and risk.

Apply intelligence to repetitive analysis, anomalies and decision support.

Invoice intelligence

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Financial analysis

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Anomaly detection

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Forecasting & risk scoring

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See change sooner. Respond with context.

Use predictive and generative techniques across planning, suppliers and inventory.

Demand forecasting

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Supplier intelligence

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Inventory optimization

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Shipment insights

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Give engineers leverage across the lifecycle.

Support understanding, modernization, documentation and quality without removing human judgment.

Code understanding

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Documentation

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Test generation

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Modernization support

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Measure AI by what it improves.

The right measures depend on the use case. We help define a baseline before building and track technical and business performance together.

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Faster cycle times and decisions

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Reduced manual effort and rework

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Better access to enterprise knowledge

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Improved accuracy and consistency

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Stronger employee and customer experiences

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More visible risk, quality and cost controls

Outcome categories indicate what can be measured; they are not guaranteed results. Engagement-specific targets should be agreed during discovery.

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Connected Capabilities

AI creates more value when the enterprise moves with it.

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Intelligent automation

Orchestrate and execute AI-enabled workflows across people, systems and decisions.

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Data & analytics

Build the trusted, governed data foundation behind intelligent experiences and decisions.

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Cloud & infrastructure

Provide secure, resilient and scalable environments for modern AI workloads.

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Frequently Asked Questions

Enterprise AI, without the ambiguity.

Clear answers to the questions teams ask before moving AI into production.

Does Persivate work only with generative AI?

No. We select the approach that best fits the problem, including generative AI, AI agents, machine learning, predictive analytics, intelligent automation and conventional application engineering.

Can you help identify the right AI use cases?

Yes. We assess opportunities, readiness, value, risk and feasibility, then define a prioritized roadmap tied to practical measures of success.

Can AI connect securely to our enterprise data?

Yes. Solutions can use governed data and knowledge sources with retrieval, identity, permission and access-control patterns appropriate to the use case and environment.

Can AI be integrated into existing applications and workflows?

Yes. We can embed AI capabilities into digital products, enterprise applications and workflows so users can access intelligence in the flow of work.

How does Persivate address AI risk?

The control model should reflect each use case and its risk profile. Typical measures include evaluation, security and privacy controls, access management, human oversight, auditability and ongoing monitoring.

How should we measure the value of an AI initiative?

Define a baseline and success measures before building. Depending on the use case, these may include cycle time, cost, quality, accuracy, adoption, customer experience or risk reduction.

Turn AI ambition into a working capability.

Bring us the process, decision or experience you want to improve. We'll help assess the opportunity, define a practical path and engineer the solution for real-world use.

Talk to an Engineer,Not
a Salesperson

Tell us what you're trying to build, migrate, automate, or keep running. You'll get a 30-minute call with someone who has shipped systems like yours, and an honest answer about fit.

Our work has thrived across borders.

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Chat with Our Team

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22 A, Takli Seem, Nagpur 440036

8 The Green STE A, Dover, Delaware, USA 19901

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Get in Touch

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