Question 1

What does Imagine Works do?

Accepted Answer

Imagine Works is an advisory-first AI consultancy based in India. We design the AI operating models, agentic system architectures, and governance frameworks that enable enterprise organisations to deploy AI at scale — not as isolated pilots, but as a core operational capability. We advise; we do not build or implement software.

Question 2

Where is Imagine Works based, and do you work with international clients?

Accepted Answer

We are based in India. We work with enterprise organisations across India, the United Kingdom, the European Union, and globally. Our advisory model is structured for remote engagement, with on-site facilitation available for strategy and governance design sprints.

Question 3

What makes Imagine Works different from a technology consultancy or systems integrator?

Accepted Answer

We are an advisory practice, not an implementation firm. We design the strategy, architecture, and governance frameworks — and hand off a detailed implementation brief to your engineering team or chosen delivery partner. This means our advice is independent of any vendor, platform, or technology stack.

Question 4

What size of organisation do you typically work with?

Accepted Answer

We work primarily with mid-market and enterprise organisations — typically those with 200 or more employees and existing technology infrastructure. The common thread is not size but readiness: organisations that have begun AI adoption and need a structured approach to scale it, govern it, or make it compliant.

Question 5

What is an AI Operating Model and does my organisation need one?

Accepted Answer

An AI Operating Model defines how your organisation structures its people, processes, technology, and governance to deliver AI at scale. If your organisation has AI pilots in multiple business units with no central strategy, accountability, or governance — you need one. McKinsey research shows organisations with AI operating models in place are three times more likely to sustain AI deployment across the business.

Question 6

What does agentic systems architecture involve?

Accepted Answer

Agentic AI systems are networks of autonomous AI agents that coordinate to execute multi-step tasks. Architecture design covers orchestration logic, agent role definitions, tool integration, human-in-the-loop specifications, error recovery, and governance layer design. We produce an architecture document and implementation brief your engineering team can build to — before a line of code is written.

Question 7

What is AI Governance and Risk Design?

Accepted Answer

AI governance is the set of policies, processes, accountabilities, and controls that determine how your organisation makes decisions about AI — which systems to deploy, how they are monitored, who is accountable for outputs, and how they are modified or decommissioned. Risk design identifies and mitigates the specific risks associated with each AI system in your portfolio.

Question 8

Do you help with EU AI Act compliance?

Accepted Answer

Yes. EU AI Act compliance is one of our core practice areas. We start with an AI Portfolio Assessment — classifying every AI system against the Act's four risk tiers (Annex III). From that classification, we design the governance framework, risk management systems, technical documentation requirements, and conformity assessment approach each high-risk system requires. The August 2026 enforcement deadline is the critical target for most enterprise organisations.

Question 9

Do you help with India's DPDP Act compliance for AI systems?

Accepted Answer

Yes. The Digital Personal Data Protection Act 2023 has specific implications for organisations using AI to process personal data about Indian citizens — including AI training data, automated profiling, and decision-making systems. We assess DPDP obligations across your AI portfolio and design the consent, governance, and data management frameworks required for compliance.

Question 10

What are your engagement tiers?

Accepted Answer

We offer three engagement structures. An AI Diagnostic (4–6 weeks) assesses your current AI maturity, identifies gaps, and produces a prioritised recommendations report. A Strategic Design engagement (6–12 weeks) produces a full operating model, architecture, or governance framework. An Advisory Partnership is an ongoing retained relationship providing strategic counsel as your AI programme evolves.

Question 11

What is an AI Diagnostic?

Accepted Answer

The AI Diagnostic is our entry-level engagement — a structured assessment of your organisation's current AI maturity across strategy, technology, data, people, and governance. The output is a written report identifying your highest-priority AI opportunities, capability gaps, and a sequenced roadmap. It is typically completed in 4–6 weeks and is the foundation for any subsequent strategic design work.

Question 12

Do you implement AI systems, or only provide strategy and architecture?

Accepted Answer

We are an advisory practice. We design strategies, architectures, and governance frameworks — and produce detailed implementation briefs your internal team or a delivery partner can execute. We do not write code, manage software projects, or act as a systems integrator. This keeps our advice independent of any vendor or technology preference.

Question 13

How long does a typical engagement take?

Accepted Answer

An AI Diagnostic typically takes 4–6 weeks. A Strategic Design engagement — producing an AI Operating Model, agentic system architecture, or governance framework — typically takes 8–12 weeks. Timelines depend on the scope of systems involved, the availability of key stakeholders, and the complexity of the operating environment.

Question 14

How do engagements begin?

Accepted Answer

Every engagement begins with a Discovery Call — a 45–60 minute conversation to understand your current situation, objectives, and constraints. From that conversation, we scope an appropriate engagement and provide a written proposal. There is no obligation from the Discovery Call.

Question 15

How do I know if my organisation is ready for AI strategy work?

Accepted Answer

If your organisation has at least one AI system in use or active AI pilots underway, you are ready for strategy work. The most common trigger is recognising that AI projects are proliferating without central coordination — different teams buying different tools, with no shared framework for prioritisation, governance, or measurement.

Question 16

What is the EU AI Act and when does it apply to my organisation?

Accepted Answer

The EU AI Act (Regulation 2024/1689) is the world's first comprehensive AI regulation. It applies to any organisation deploying AI systems for EU-based users — regardless of where the organisation is headquartered. High-risk system compliance obligations become fully enforceable in August 2026. Indian organisations with EU clients, subsidiaries, or EU-based staff are directly in scope.

Question 17

What is a high-risk AI system under the EU AI Act?

Accepted Answer

High-risk AI systems are defined in Annex III of the Act. The categories most relevant to enterprise organisations are AI used in HR and recruitment, credit scoring, educational access decisions, essential service allocation, and critical infrastructure management. Each high-risk system requires a risk management system, technical documentation, audit logging, human oversight design, and a conformity assessment before deployment.

Question 18

What is human-in-the-loop (HITL) design and why does it matter?

Accepted Answer

HITL design specifies exactly when and how a human must review or approve an AI system's output before action is taken. It is an architectural requirement — not a safety net added after deployment. The EU AI Act (Article 14) mandates HITL design for all high-risk AI systems. For agentic systems, HITL design is one of the most frequently omitted architectural decisions, and its absence is a leading cause of production failure.

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