- 4practices, one executive office
- 8stage AIfication Framework™
- 6stage AItomation Execution Framework™
- 2markets: India and international
AIdvisory is a business unit of WeSimplifAI Private Limited, India. AIfication™ and AItomation™ are WeSimplifAI proprietary methodologies.
Most organisations have AI activity. Few have AI results.
Tools are bought, pilots start, and a year later no one can say what changed. The cause is rarely the technology.
Scattered pilots
Teams experiment separately. Nothing is prioritised, measured or connected, so successes cannot be repeated.
Knowledge no one can trust
Answers sit in documents, inboxes and people's heads. AI built on that gives confident, unverifiable answers.
No owner, no guardrails
Nobody is accountable for AI investment, risk or oversight, and tools are in use that leadership has never reviewed.
What you should be able to say after working with us
- We know where AI is worth it. A ranked list of opportunities with a business case, and a list of what to leave alone.
- Repetitive work now runs itself, safely. Workflows that understand context, escalate exceptions and leave an audit trail.
- Our people find verified answers fast. Organisational knowledge that is searchable and traceable to its source.
- We are in control of AI use. Clear ownership, permissions, oversight and evaluation.
- We know how AI systems describe us. A measured baseline of how AI answers represent the organisation, and what to fix.
These are the outcomes we design for. We set a measured baseline before work starts and report against it. We do not promise a specific return in advance.
Where we work
AI Transformation
Where should we use AI, and in what order?
Readiness and maturity assessment, opportunity mapping, business case and ROI, a phased roadmap, and vendor and technology selection.
You receive: opportunity register, prioritised use cases, roadmap, investment case.
AItomation™ intelligent workflows and agents
Which work can be done by an AI-enabled process, under control?
Workflow redesign, document and data processing, customer-service and sales operations, ERP, CRM and API integration, with human approval where it matters.
You receive: a working workflow, validation report, performance scorecard.
Enterprise Knowledge Intelligence
Can people and AI find the correct, authoritative answer?
Knowledge architecture, retrieval and knowledge-graph systems, assistants that cite their sources, and provenance and access controls. Informed by WeSimplifAI's own knowledge-infrastructure work (AKB), used where it fits your needs.
You receive: source inventory, knowledge architecture, evidence rules, a tested assistant.
AI Visibility & Interpretability
How do AI systems describe our organisation?
A repeatable measurement of how AI answers represent your brand and products, accuracy checks, competitor comparison, and fixes to the content that AI systems rely on. We measure and improve; we cannot guarantee rankings or mentions.
You receive: visibility baseline, gap register, improvement roadmap, re-measurement.
AIfication™, powered by AItomation™
Two terms, deliberately distinct. One describes where an organisation is heading. The other describes how work gets done on the way there.
AIfication
The deliberate, continuing evolution of an organisation so that intelligence is part of how it plans, operates, decides and learns, rather than a set of separate tools.
Changes how the organisation operates.
AItomation
Applying AI to automate and orchestrate tasks and workflows so they cope with context and exceptions, within defined limits and human oversight.
Changes how work gets done.
Automation
Follows fixed rules. Works when the process is predictable.
AI transformation
A broad industry term for introducing AI into parts of a business. Means different things to different vendors.
AIfication
Our structured method for making intelligence part of the whole operating model, with named stages, assessment and governance.
AItomation does not mean unsupervised AI: human approval and escalation are designed in.
Two frameworks, one delivery discipline
Stages overlap. Governance starts on day one and measurement runs throughout.
AIfication Framework™ eight stages, organisation-wide
- 1DiscoverUnderstand objectives, operating model and current AI use.
- 2DiagnoseAssess readiness, knowledge, automation potential and governance gaps.
- 3StrategiseSet the vision, priorities, investment case and roadmap.
- 4ArchitectDesign the intelligence, data, knowledge and integration architecture.
- 5AItomateRedesign and implement intelligent workflows and agents.
- 6IntegrateEmbed intelligence in functions, services and decisions.
- 7GovernPolicies, accountability, human oversight, evaluation, audit trail.
- 8EvolveMeasure outcomes, review investments, raise maturity.
Evolve feeds new opportunities back into Discover. Governance starts on day one.
AItomation Execution Framework™ six stages, per workflow
- 1IdentifyFind workflows suited to AI-enabled execution.
- 2AssessTest value, feasibility, data, risk and the autonomy needed.
- 3DesignRedesign the process, set AI duties and human approval points.
- 4BuildDevelop and integrate models, agents and workflows.
- 5ValidateTest accuracy, security, exceptions and business acceptance.
- 6OptimiseMonitor, improve and report against the baseline.
How much autonomy, and with what control
For each workflow we agree a level of autonomy and the controls that go with it. More autonomy needs stronger controls, and not every workflow should reach the top level.
| Level | Execution |
|---|---|
| A0 | Manual |
| A1 | Rule-based automation |
| A2 | AI-assisted |
| A3 | AI-orchestrated across systems |
| A4 | Bounded autonomy, exceptions escalated |
A WeSimplifAI classification, not an industry scale.
Rules every engagement follows
- No production deployment without your written authorisation.
- No confidential data sent to AI services you have not approved.
- Human review for consequential or high-risk decisions.
- Documented models, data and integration dependencies.
- Tests for accuracy, security and failure handling before handover.
- Clear ownership of code, configuration and deliverables.
Fractional Chief AI Officer
Senior AI leadership without the commitment of a full-time hire. We are accountable for direction, governance and oversight; delivery is run with your teams and partners.
CAIO for growing enterprises
For organisations of roughly 100 to 1,000 people with scattered AI activity and no one leading it.
- Readiness and maturity view
- AI roadmap and investment priorities
- Vendor and technology selection
- Team enablement; monthly executive review
Enterprise CAIO
For complex organisations where business units adopt AI independently.
- Enterprise AI strategy and operating model
- AI Centre of Excellence design
- Governance, including agent oversight
- Portfolio, board and executive reporting
Public Sector AI Advisory
For institutions adopting AI responsibly where privacy, accountability and procurement rules apply.
- Departmental readiness assessment
- AI strategy and governance framework
- Use-case prioritisation
- Procurement evaluation criteria
Formats: monthly Fractional CAIO, Interim CAIO for a defined period, CAIO advisory board sessions, and scoped public-sector programme advisory. Public-sector work follows the applicable procurement process; we do not claim government empanelment.
Start small, decide with evidence
- Discovery conversationA short call. We learn your situation and tell you honestly whether we are a fit.
- Paid diagnosticFixed scope, fixed timeline: an AItomation Discovery or an AIfication Assessment, with a written report.
- Strategy and architectureA roadmap, business case and design you can take to your board, or to any other team.
- ImplementationBuild and integrate against agreed acceptance criteria and milestones.
- Advisory and optimisationOngoing leadership, monitoring and improvement, only if it earns its place.
Every engagement has a written scope, acceptance criteria and a change process. Prices are agreed after the discovery conversation.
One workflow, before and after
Finding the right answer
- Search shared folders and emails.
- Ask colleagues; wait for replies.
- Find conflicting versions.
- Check them by hand; write the answer.
Evidence-grounded retrieval
- Ask in plain language.
- The relevant verified material is retrieved.
- Sources are shown next to the answer.
- You review and act.
Illustrative workflow, not a measured result. In an engagement we measure your actual baseline first.
Five principles
- Outcome before technology.
- Demonstration before explanation.
- Evidence before claims.
- Your context before generic solutions.
- Transformation before deployment.
Straight answers
What does AIdvisory actually do?
We help an organisation work out where AI creates measurable value, design and build the intelligent workflows and knowledge systems that deliver it, and put the governance around them. We also provide part-time executive AI leadership (a Fractional Chief AI Officer).
Is this an AI development agency?
No. We start from the business outcome and the decision that has to be made, then choose technology. We do build and integrate, but a build is one step in an engagement, not the product.
What is the difference between AIfication and AItomation?
AIfication is the organisation-wide journey: strategy, people, processes, knowledge, technology, decisions and governance. AItomation is one discipline inside it: making individual workflows intelligent. You can buy AItomation on its own without committing to AIfication.
Are AIfication and AItomation industry standards?
No. They are our own methodologies. Any maturity level or score we produce is a WeSimplifAI assessment, not an external certification.
What does a first engagement look like?
A fixed-scope, paid diagnostic with a defined deliverable and timeline. We do not offer open-ended free consulting. After the diagnostic you decide whether to continue.
Do you publish prices?
Not yet. Scope varies too much between a single workflow and an organisation-wide programme. You receive a written scope and quote after a short conversation.
Can you show client results?
AIdvisory is launching, and we do not publish case studies or return figures we cannot evidence. What we can show you is the method, sample deliverables and a working demonstration on your own example.
Do you work with government bodies?
We offer advisory on responsible AI strategy and governance for public institutions. We are not claiming empanelment or prior government programmes, and we expect to work through the appropriate procurement route or a partner.
Will you use my confidential data in AI tools?
Not without your written approval. Every engagement states which data may touch which systems, and nothing goes to an unapproved AI service.
Tell us what you are trying to change
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