Now Booking

E2E AI Solutions

AI for the Modern Enterprise

From AI training to strategic implementation, inspyr AI delivers tailored AI solutions built to scale.

Our Services

Expert AI Services, From Strategy to Adoption

We support organisations at every stage of the AI journey, from building executive awareness through to production deployment and long-term capability.

01

AI Foundations

For executives and senior teams who need a clear, grounded understanding of AI, separating signal from noise. Sessions are tailored to your organisation's context, leaving leaders with a shared vocabulary, a unified mental model, and the confidence to oversee AI initiatives without relying entirely on technical teams.

Executive Workshops

Leadership Cohorts

02

AI Strategy & Prioritisation

Most organisations have more AI ideas than they can pursue. We identify the opportunities most likely to deliver business value, build a clear investment thesis grounded in your data and commercial context, and secure executive alignment to move from exploration to action — typically within two to four weeks.

Opportunity Mapping

Investment Thesis

#1#2#3
UserInputAIAgentHuman ReviewHuman-in-the-LoopOutput to Users

03

Product & Workflow Design

Deploying AI in production demands more than a working model — it demands a solution users will actually adopt. We cover user journey mapping, copilot and agent design, human-in-the-loop workflow architecture, and the interface decisions that determine whether a tool earns daily use or gets abandoned.

User Journey Mapping

Agent Design

Human-in-the-Loop

04

Pilot to Production

Many AI initiatives stall after a successful demo. We transform validated concepts into solutions that operate in your environment, integrate with existing systems, and can be measured, maintained, and extended — including knowledge base curation, evaluation frameworks, and a structured handover so your team can operate independently.

Knowledge Base Design

Eval Frameworks

Integration Design

Prototype/ DemoProduction✓ Integrated✓ Measured

05

Capability Building & Adoption

AI implementations fail for two reasons: ineffective technology or insufficient organisational change. We address both — building leadership judgement to oversee and govern AI, and developing the internal skills and processes that allow capability to grow. Frameworks and course content developed through an engagement remain with the client permanently.

Applied AI Programmes

Internal Upskilling

06

Fractional CAIO

A retained advisory relationship for executives who need ongoing access to senior AI expertise — not a project, but a trusted partner who knows your organisation. Combines structured monthly or fortnightly sessions with open availability for the decisions that arise between them. Clients on a Fractional CAIO retainer can draw on any Inspyr project service with the advantage of a partner who already understands their context deeply.

Monthly Retainer

Senior Advisor Access

Ongoing Partnership

MONTHLYCAIOSTRATEGIC ADVISORYGovernAdviseBuildOpenAvail.
Why Inspyr AI

Most AI initiatives fail.
Not ours.

The gap between AI potential and AI reality is not a technology problem. It is a delivery problem. Organisations invest in AI and get demos. We deliver outcomes. Here is why that matters.

87%of AI projects failto reach production (Gartner)
faster deploymentwith experienced practitioners
90%time-to-guidancereduction in production
$0wasted on demoswe only build what ships
The Inspyr Difference

We don't advise on AI.
We own the outcome.

There is a fundamental difference between teams that talk about AI and teams that have shipped it at scale, in regulated environments, with real business consequences.

The typical approach
The Inspyr approach

Slides and strategy frameworks

Working systems in production

Junior consultants on client work

Founding team on every engagement

AI demos that impress in a room

AI tools that earn daily use

Dependency on the vendor after handover

Clients who can own and extend independently

Generic AI tooling applied to your context

Systems designed around your data, workflows, and constraints

Measured in deliverables

Measured in business outcomes

How We Work

Six things that make the difference

These are not principles on a wall. They are how we operate on every engagement.

01

We own the full outcome

We do not hand off a deliverable and leave. We own the problem from strategy through deployment and measure ourselves against business results, not outputs.

02

We build for adoption, not demos

A tool that does not get used is a liability. Every product and workflow we design is built around how real users behave, not how a demo performs in a boardroom.

03

We operate in your constraints

Regulated industries demand AI that is explainable, auditable, and governable. We have built in healthcare, financial services, and enterprise operations. We know what breaks.

04

We leave you capable, not dependent

Every engagement is designed with an exit in mind. The frameworks, systems, and knowledge we develop are built to live inside your organisation after we leave.

05

We bring research-grade rigour

Active AI researchers, a US patent, and peer-reviewed publications inform how we think about architecture, evaluation, and long-term system design. Not many consultancies can say that.

06

We think like operators, not advisors

We have built products shipped to hundreds of thousands of users. That shapes how we approach every decision, with the mindset of someone who has to live with the consequences.

Our Philosophy

How we think about AI

The principles that shape every engagement we take on.

AI has automated the how. The competitive advantage now lives entirely in the what and the why, and that requires human judgement, business context, and deep domain knowledge.

The organisations that win with AI are not the ones who moved fastest. They are the ones who built systems that their people could actually trust, use, and extend.

Every AI deployment is a hypothesis. The ones that survive contact with reality are designed with rigorous evaluation frameworks from the start, not bolted on afterwards.

Capability building is not a nice-to-have. If your organisation cannot govern, extend, and interrogate its own AI systems, it has acquired a dependency, not a capability.

There is no such thing as a purely technical AI problem. Every failure we have seen traces back to an organisational, process, or knowledge gap, not a model limitation.

Ready to work differently?

If you want AI that ships,
let's talk.

Book a call with the founding team. No account managers, no pre-sales. Just a direct conversation about where AI can move the needle for your organisation.

Book a free call
The Founding Team

Operators who have done it.
Not consultants who advise on it.

Inspyr is led by senior product and engineering practitioners with a combined track record of building and scaling AI systems across enterprise, fintech, healthcare, and beyond. Every client engagement is led directly by the founding team.

$400M+ARR influenced across portfolio
10+Years building AI in production
8+Industries and sectors served
3xAverage capacity gain for clients
US PatentsIn ML and AI
Leadership

Built and led by the best

No account managers. No juniors. You work directly with the people who have shipped AI at scale.

Praniti Sinha

CEO & Founder

A product and engineering executive with a career built on shipping high-impact AI systems at scale. Praniti has driven over $400M in ARR across fintech, fraud detection, enterprise platforms, supply chain, e-commerce, and search. She is a recognised AI expert, conference speaker, and host of Rendered, a podcast on AI, creativity and product leadership. She brings the rare combination of strategic clarity and the ability to execute.

AI Product StrategyML PlatformsFintechEnterpriseFraud DetectionSupply ChainE-CommSearchConference SpeakerUS Patent Pending

Santosh Saravanan

Co-Founder, President & CTO

A technical executive with a decade of building AI and ML systems that deliver measurable outcomes in healthcare, financial services, manufacturing, and mobility. Santosh holds US patents in machine learning, has published in peer-reviewed clinical journals, and is a lecturer at Imperial College London teaching AI and ML. He has established data science centres of excellence, led teams through regulatory environments, and turned pilots into production systems that scale.

LLM SystemsML ArchitectureHealthcare AIRegulatory EnvironmentsResearchImperial College LondonUS Patents
How We Work

What sets us apart

The principles behind every engagement we take on.

Platform thinkers, not project delivery

We build systems designed to scale, integrate, and outlast the engagement. Not one-off implementations that require us to come back.

Production experience, not theory

Every framework we apply has been tested in high-stakes environments where AI failures carry real business and regulatory consequences.

Outcome ownership

We measure success in business impact: adoption rates, revenue influence, operational capacity gained. Not hours billed or documents produced.

Full-stack execution

Strategy, product design, technical architecture, and delivery. The founding team covers the full stack so nothing gets lost in translation between advisors and builders.

Research-grade rigour

Active researchers, published academics, and patent holders. We bring intellectual depth to every engagement, not just pattern-matched frameworks.

Capability, not dependency

We build teams and systems that can operate without us. Clients leave each engagement more capable, not more reliant on external support.

inspyr AI

Senior AI expertise, applied directly to your business.

Your AI partner — not your AI vendor.

Book a call to explore where AI can move the needle for your organisation.

Get in touch

© 2026 inspyr AI. All rights reserved.