01
A plan built on your own numbers
Time, cost and rework measured in your pipeline before anything is recommended.
Pilots reaching production
Measured by Pilots scaled ÷ pilots started
Capability 04 / 04 · Adoption that survives the pilot
Everyone has run a pilot. Few have changed how the work happens.
AI Strategy & Consulting brings AI into the brand and marketing ecosystem: where it fits in the brief-to-asset pipeline, which tools earn their licence, what the policy allows, and the pilots and enablement that make a new way of working hold after the excitement fades.
Illustration: an AI pilot portfolio. Six candidate pilots are plotted by business value against feasibility. Three in the high-value, high-feasibility quadrant are picked: a product copy studio, a service assistant and a brand image model. An adoption roadmap sequences them over 0 to 90 days, 3 to 6 months and 6 to 12 months, with contract review held until its data is ready.
What it covers
From scattered experiments to a way of working
Every recommendation is tested against your own workflow, your own licences and the people who would have to change what they do on Monday.
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01 / 06
AI readiness diagnostic
Your brief-to-asset pipeline walked step by step with the teams who run it, measuring where time, cost and rework actually go.
Walked, not surveyed
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02 / 06
Opportunity map & roadmap
Each opportunity scored on value, feasibility, rights risk and how much change it asks of people, then sequenced with owners and measures.
Scored · sequenced
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03 / 06
Tool stack rationalisation
The AI tools in use, the ones quietly expensed, what each licence permits, and what to keep, consolidate or stop paying for.
Licences · shadow AI
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04 / 06
Pilots that prove something
One workflow, a baseline taken before, a time-boxed pilot, and a go or no-go decision on measured throughput and quality.
Baseline · decision
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05 / 06
Policy, rights & disclosure
An acceptable-use policy for creative and marketing teams: what may be generated, what must be disclosed, what data may enter a tool, and who signs off.
Policy · approval
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06 / 06
Enablement & adoption
Role-based training, playbooks and named champions, with adoption and quality tracked for a quarter rather than declared at the end of a workshop.
Trained · tracked
How it runs
Six weeks to a plan, a quarter to a habit
The diagnostic is short. The work is the pilot and the three months after it, when a new way of working either holds or quietly lapses. Timings are typical, set per engagement.
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Wk 01–03
Diagnose
Workflow walk-throughs, tool and licence review, a time and cost baseline, and an honest read on appetite and skills.
- Workflow map
- Baseline measures
- Tool & licence register
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Wk 03–06
Plan
Opportunities scored and sequenced, the operating model and policy drafted, and the first pilot chartered with a measure attached.
- Opportunity map
- Roadmap
- Pilot charter
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Wk 07–14
Pilot
One workflow run the new way by a real team, measured against the baseline, with the policy and guardrails live from the first day.
- Working pilot
- Measured results
- Decision record
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Wk 14+
Embed
Rollout, role-based training, playbooks, champions, and a quarterly review of adoption, quality and spend.
- Training programme
- Playbooks
- Quarterly review
In practice · use-case scoring
Forty ideas in. Three funded, each for a reason on the record.
Every use case is scored on value, feasibility and risk with the people who own it, tried on a live model, and given a decision the board can read in one line.
| Use case | Value | Feasibility | Risk | Decision |
|---|---|---|---|---|
| Claims triage assistant | High · ₹4–6 Cr/yr | High | Limited | Fund · Q1 |
| Sales call summaries | Medium | High | Minimal | Fund · Q1 |
| Contract clause review | High | Medium | Minimal | Pilot with legal |
| Emotion reading in interviews | Low | Medium | Prohibited | Decline |
| Internal policy search | Medium | High | Minimal | Fund · Q2 |
- Use cases scored
- 41From six business units
- Funded
- 3With owners and measures
- Declined on risk
- 4Reasons recorded
Illustrative The risk column is the EU AI Act tier; values are ranges agreed with finance.
What changes
Fewer pilots. More of them reaching production.
Measured on decisions made, pilots shipped and value tracked. Typical targets, not promises; yours are set per engagement.
02
Tools that earn their licence
One register of what is in use, what it permits and what it costs, with the quiet subscriptions accounted for.
Weekly use at 90 days
Measured by Weekly active users ÷ licensed seats
03
Change that outlives the pilot
Playbooks, trained people and a quarterly review, so the new way of working is still there two quarters later.
Decisions with a business case
Measured by Portfolio items with a scored case
What you keep
A roadmap your board can fund and your teams can start.
The use-case register, scoring model, risk register, business cases and the 90-day plan, in the documents and trackers your teams already run.
Manifest · AI Strategy7 items
| # | Deliverable | Format |
|---|---|---|
| 01 | Workflow map & baseline measures | Board · sheet |
| 02 | Scored opportunity map & roadmap | Deck · sheet |
| 03 | AI tool & licence register | Sheet |
| 04 | Acceptable-use, rights & disclosure policy | Document |
| 05 | Pilot charter, results & decision record | Doc · dashboard |
| 06 | Operating model & role design | Doc · RACI |
| 07 | Enablement programme & playbooks | Sessions · docs |
Where it sits
Strategy picks the work. The other three make it real.
A scored portfolio and a roadmap, then pilots handed to the capability that builds each one, with the measure of success agreed before it starts.
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AI Design · this page
AI Strategy & Consulting
Opportunities scored, pilots chosen, rules written.
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AI Design
AI Application Design
Customer and employee experiences.
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AI Design
AI Content Studio
Content production at volume.
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AI Design
Brand AI Tools
Models tuned on your brand.
Engineering-heavy pilots go to Technology & Intelligence, with the same scorecard.
Technologies we work with
Tested on the models your people would actually use.
The model, collaboration and planning tools strategy work runs on. Every use case is tried on a live model before it is scored.
- Anthropic
- Google Gemini
- Mistral AI
- GitHub Copilot
- Figma
- Miro
- Notion
- HubSpot
- Google Analytics
- Jira
Also in use
- OpenAI
- Slack
- Microsoft Teams
Frameworks we build to
A strategy your risk team can sign on the first read.
The frameworks behind the risk register, the governance model and the policy set. We build to them; they are not certifications we hold.
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NIST AI RMF 1.0AI Risk Management Framework
Four functions for trustworthy AI: Govern, Map, Measure and Manage, with a companion profile for generative AI (NIST AI 600-1).
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ISO/IEC 42001:2023Artificial intelligence management systems
Requirements for establishing, running and improving an AI management system: AI policy, impact assessment, data and lifecycle controls.
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EU AI ActArtificial Intelligence Act (EU) 2024/1689
A risk-based regime: prohibited practices, obligations for high-risk systems, transparency duties and rules for general-purpose AI models.
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GDPRGeneral Data Protection Regulation (EU) 2016/679
Lawful basis, data-subject rights, data protection by design and by default, breach notification and DPIAs for high-risk processing.
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DPDP Act 2023Digital Personal Data Protection Act, 2023
Notice and consent, duties of data fiduciaries, rights of data principals, breach intimation and added duties for significant data fiduciaries, with the DPDP Rules.
Services & packages
Measure the pipeline you have. Then change how it runs.
Buy a short diagnostic, a pilot that proves something, or a full adoption programme for your brand and marketing organisation. Everything starts from a baseline taken in your own workflow, so the plan is argued with numbers rather than with slides.
- Categories
- 04
- Services
- 14
- Packages
- 04
How to buy
- 01Pick services. Enquire about one, or add several to a brief.
- 02Choose how to engage. A sprint, a fixed project or an ongoing team.
- 03Send the brief. We reply within one working day.
Start a project
Ways to engage. Same team, same standard.
Three ways in, from a two-minute question to a formal RFQ. Each is read in full by the lead for the work, and anything already in your brief goes with it.
Or book a thirty-minute call-
01
For a first conversation, a press request, or anything that does not need a scope yet.
You get A reply from a lead, not a sales queue
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02Most useful
Goals, audiences, a budget band and timing. Enough for us to come back with a shape, not only questions.
You get Options and a first scope after one call
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03
Your pack, your deadlines, and the procurement and security rules the work must meet.
You get Receipt confirmed and a named bid lead
How it is priced
Each package shows how it is priced. Every engagement starts with a written scope and a quote agreed before work begins.
Opens a project brief with this package chosen.
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In your brief
- Typical length
- 1–3 weeks
- Pricing
- Fixed fee
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In your brief
- Typical length
- 4–12 weeks
- Pricing
- Fixed price
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In your brief
- Typical length
- 6–18 months
- Pricing
- Programme fee · by statement of work
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In your brief
- Typical length
- Ongoing · 6-month minimum
- Pricing
- Monthly fee
Compare what each package includes
| Package | Every engagement includes | Best for |
|---|---|---|
| SprintOne fixed question, answered in one to three weeks. |
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Discovery, a diagnostic, a prototype or a decision you need to make soon |
| ProjectA defined scope, delivered for a fixed price. |
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Work you can describe up front: an identity, a system, a set of tools |
| EnterpriseA multi-workstream programme with governance, a dedicated team and SLAs. |
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Large organisations running change across markets, portfolios or business units |
| RetainerReserved monthly capacity to run, improve and extend what we built. |
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Brands and products after launch that need a steady team without hiring one |
Questions
Asked plainly, answered plainly.
What buyers ask before AI Strategy & Consulting work. Anything else, ask the team directly.
Ask the teamHow is this different from AI Strategy & Agents in Technology & Intelligence?
That one covers the enterprise: business processes, data, agents and infrastructure. This one covers the brand and marketing ecosystem: the brief-to-asset pipeline, creative operations, the way agencies and partners work, and rights and disclosure. Large organisations often run both, under one governance model.
Will this cost people their jobs?
We plan for redeployment rather than headcount reduction, and we say so in the diagnostic. What we see is output rising and the work moving up: more direction, review and judgement, less repetition. Anything more specific would be a guess about your business.
What do you measure in a pilot?
A baseline before: cycle time from brief to approved asset, rework rounds, cost per asset, and quality scored by the people who sign work off. The same measures after, on the same kind of work, with the difference written down either way.
Which regulations apply to marketing use of AI?
Commonly the EU AI Act’s transparency duties for synthetic content, GDPR and India’s DPDP Act 2023 for personal data used in targeting or training, advertising codes on misleading claims, and each platform’s own labelling rules. We map which apply in your markets and prepare the position with your counsel.
Do you help us choose between building and buying?
Yes, tool by tool. Most of a marketing stack should be bought. Building is worth it where the brand itself is the advantage, such as a tuned brand model or a proprietary content pipeline, or where a vendor’s licence terms make a bought tool unusable on your data.
Also in AI Design
A strategy is a list until something gets built.
Each shares the models, evaluation sets and approval rules built here.
All of AI Design
01 / 04 · Interfaces for systems that guess
AI Application Design
Assistants and multimodal, agentic experiences built across Gemini, OpenAI, Anthropic, and beyond.
03 / 04 · The model layer of the brand
Brand AI Tools
Custom-tuned models, via Flux, Adobe Firefly, ComfyUI and more, that keep brand delivery consistent at scale.
02 / 04 · Volume without losing the eye
AI Content Studio
AI creatives, films and edits — model selection, automation and creative direction, with tools like Runway, Veo and ElevenLabs.
Let’s build what happens next.
Tell us what you’re building. We’ll answer straight.
Three ways to start
Every engagement starts with a written scope and a quote agreed before work begins.
Choose one of the three ways above