MCP integrationsPrivate MCP Integrations
A safe, audited bridge between your internal systems and your AI tools — so agents can act on real data without a blank cheque.
Inventory → Scope → Operate
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AI Content Generation
Text and image production pipelines that hold your brand's voice across real volume.
- Time to value
- 3–5 weeks.
- Deployment
- Hybrid — sensitive steps can stay on-prem
- Category
- Cloud, Integration & AI Infrastructure
The manual version of thisInvictt AI layer
Encode the voice
Ground the facts
Produce
Review
Once it's AI-assisted01/The problem
Generic AI copy is obvious, and being obvious damages you more than publishing less would. The problem was never generating words. It is generating words that sound like you and survive a legal review.
02/How it works
The operating model
What enters, what the system does with it, and what reaches you.
System
Encode the voice
Your existing best work becomes a style reference and a set of explicit rules — including the things you never say — rather than an adjective in a prompt.
System
Ground the facts
Generation is anchored to your real product data and approved claims, which is what stops the confident invention that gets brands into trouble.
System
Produce
Batch generation across formats and channels, with variants for testing rather than a single take.
Human
Review
An approval queue with diffing, so a human signs off before anything ships. Nothing publishes itself.
Read the detail behind each stage
01
Encode the voice
Your existing best work becomes a style reference and a set of explicit rules — including the things you never say — rather than an adjective in a prompt.
02
Ground the facts
Generation is anchored to your real product data and approved claims, which is what stops the confident invention that gets brands into trouble.
03
Produce
Batch generation across formats and channels, with variants for testing rather than a single take.
04
Review
An approval queue with diffing, so a human signs off before anything ships. Nothing publishes itself.
03/What's included
What you actually receive
Concrete deliverables, not a statement of intent.
Brand voice encoding from your existing published work
Claim and product-data grounding to prevent invention
Batch text and image generation across formats
Variant generation for testing
Human approval queue with change diffing
Publishing integrations into your CMS or DAM
Built with
- LLM APIs / local models
- Diffusion models
- Style encoding
- CMS integration
Tooling is chosen per engagement. This is what this kind of build typically uses, not a fixed stack we sell.
04/Also in this category
Cloud, Integration & AI Infrastructure
What lets everything above run safely, and keep running.
ConnectSecureScale
MCP integrations
Cloud deploymentCloud-Based AI Deployment
Managed model hosting, frontier API integration, and hybrid architectures that use the cloud where it is the right answer and keep the sensitive parts on-prem where it is not.
Classify the workload → Integrate behind an abstraction → Control cost and exposure
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GenAI product featuresCustom GenAI Product Features
Generative capability embedded inside your own product, not bolted on beside it.
Find the moment → Design for editability → Control cost
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Is this the problem you have?
Tell us what it looks like at your end. We will say honestly whether this is the right fit — including when it is not.