Growth partnership
Growth AI 360, Consulting That Implements
Consult, build, integrate and train, measured on whether the business becomes more profitable.
The gap in AI consulting is not advice. It is that the consultancy producing the strategy deck does not build anything, and the vendor who builds does not understand the commercial problem. The organisation ends up paying twice and owning neither the insight nor the outcome.
Growth AI 360 combines both. We consult on where AI and automation genuinely earn their cost in your operation, then implement what the consultation concluded, the website, the CRM, the ERP connections, the performance marketing and the AI systems themselves, and we train your team to extend it without us.
Who this is for
- Businesses whose growth is constrained by manual processes rather than by demand
- Companies that have bought AI tools and seen no measurable commercial return
- Organisations wanting in-house AI capability instead of permanent vendor dependency
- Leadership teams that want an implementation partner, not another strategy document
What it covers
Everything under one engagement.
Diagnostic Consultation
We map your workflows, costs and constraints, and identify where AI and automation genuinely pay back, and, just as importantly, where they do not.
Implementation
We build what the consultation concluded: website, commerce, CRM, ERP integrations and AI systems, rather than handing over a deck.
Agentic AI Development
Custom agents for customer service, quoting, document processing, order handling and back-office work, built on Claude, GPT or open models.
Performance Marketing
Demand generation sized to the capacity the automation has created, so growth does not simply overwhelm the operation.
In-House AI Training
Practical training for your team on agentic AI development, prompt engineering and evaluation, so capability stays inside your business.
Profitability Commitment
The engagement is structured around agreed commercial outcomes within a defined period, not an open-ended advisory retainer.
Commercial model
Consulting that is accountable for implementation
A strategy engagement that ends at recommendation transfers all execution risk to you. Growth AI 360 is structured so the same team that identifies the opportunity is responsible for delivering it and for the commercial result inside an agreed period, and for leaving your team able to continue without us.
| Model | Fee basis | Risk | Accountability | Reporting |
|---|---|---|---|---|
| Traditional consulting | Ends at recommendation | Execution risk stays with you | No accountability for outcome | Dependency on the consultancy |
| Growth AI 360 | Consults and implements | Execution risk shared | Accountable to agreed commercial outcomes | Your team trained to continue independently |
How it runs
How the partnership works.
A defined sequence with a review point at each stage, so you are never committed further than the evidence justifies.
- Step 01
Diagnostic
We assess the whole picture: commercial model, current performance, systems and operations. The output is a written view of where the constraint actually is.
- Step 02
Agree the baseline
We agree a revenue baseline from your trailing performance, and the commercial terms that follow from it. This is the number everything is measured against.
- Step 03
Build and connect
Store, systems, integrations and tracking. Whatever the diagnostic identified as the constraint gets fixed before spend scales.
- Step 04
Grow and report
Marketing, merchandising, retention and continuous experimentation, reported monthly against revenue and contribution margin, including what did not work.
Build consultation
Already know which platform you want to build on?
Where a client has settled on a platform, the consultation narrows to that build: we guide your developers, support them while they build, and host it until it is finished.
Claude Application Development
Claude is Anthropic's model family, used through an API, through Claude Code for engineering work, and through agent tooling for systems that carry out multi-step tasks rather than answering single questions. Teams reach for it most often when the work involves long documents, careful reasoning, or an agent that has to use tools reliably.
See the engagementOpenAICodex & ChatGPT Application Development
OpenAI's tooling covers two things most businesses conflate: the models behind ChatGPT, which you build into your own products through an API, and Codex, the coding agent that works inside a repository to write and revise software.
See the engagementGoogleGoogle Antigravity Development
Antigravity is Google's agentic development environment, built around its Gemini models, where agents carry out development tasks across an editor, a terminal and a browser rather than only suggesting code inline. It sits alongside the Gemini API, which is how you build Google's models into your own products.
See the engagementPlatform-neutralAgentic AI Development
An agent is software that carries out a multi-step task on your behalf: reading an enquiry, checking stock, drafting a quote, and writing the result back into your CRM. It differs from a chatbot in that it acts on your systems rather than only producing text.
See the engagementEvidence
Work we have done in this category.
Jawhara Jewellery
A maintenance engagement that became a full Shopify Plus rebuild, and tripled revenue within four months of launch.
3× revenue in 4 monthsUAECoral Perfumes
Fragrance D2C built around discovery-led merchandising, sampling and repeat-purchase journeys.
Discovery-led fragrance D2CIndia & UAEChooseMyFresh
Fresh grocery commerce built from concept to execution, with slot delivery, quality-checked produce and bilingual browsing.
Concept to executionWhy Globosoft
Reasons that are checkable.
Questions
Questions about growth ai 360.
Is this just AI hype repackaged?
The opposite. A large part of the diagnostic is identifying where AI is the wrong tool and a rule, an integration or a process change would be cheaper and more reliable. We have concluded exactly that on plenty of engagements.
Do you train our internal team?
Yes, and it is a core part of the model. We run practical training on agentic AI development, prompt engineering and evaluation so your team can build and maintain systems themselves.
What does "make the company profitable in that period" mean in practice?
We agree specific commercial outcomes and a timeframe at the start, cost reduction, conversion improvement, capacity increase or revenue growth, and the engagement is structured and reviewed against those numbers.
Which AI models do you build on?
Claude, GPT and open models, chosen by the requirement. Where data residency or confidentiality demands it, we design deployments where your data never leaves your control.
Keep reading
Other growth programmes.
Want to see whether the arithmetic works?
We will run the numbers with you at no cost. If a growth partnership is not the right structure for your business, we will tell you that.