How senior B2B knowledge runs in your stack.
Three gaps stall AI in B2B marketing today — adoption, knowledge, governance. The three integration paths below give Skills a place to run inside the AI your team already uses, so the gaps stop showing in the work. Everything a CIO, CISO, or marketing-ops lead needs to see before the first skill goes live.
Three ways in. Pick the one that fits.
You keep your AI platform, your tenant, and your policies. Beyond Blob Native shows up inside the tools your team already opens every morning.
Quick comparison.
MCP is the default recommendation for most stacks. Copilot Studio fits M365-standardized orgs. The import package covers the environments MCP does not reach yet.
| A Option A MCP | B Option B Copilot Studio | C Option C Import package | |
|---|---|---|---|
| Best for | Most AI stacks. Claude, Copilot, ChatGPT, and custom assistants that speak MCP. | Microsoft-standardized orgs that want agents managed inside their M365 tenant. | Environments MCP does not reach yet. Non-MCP runtimes and sovereign cloud setups. |
| Update cadence | Continuous | Monthly | Quarterly |
| IT effort to start | Low | Medium | High |
| Data leaves your boundary | No | No | No |
| Rollback to older skill version | Yes | Yes | Yes |
This isn't traditional AI consulting.
Most AI vendors sell tools or platform access. We sell senior B2B marketing expertise that runs inside the tools your team already uses.
| Traditional AI consulting | Beyond Blob Native |
|---|---|
| Sells tools or platform access | Sells expertise that runs inside your tools |
| Requires learning a new system | Deploys into systems your team already uses |
| Generic AI workflows for any industry | Built for B2B marketing in complex environments |
| Knowledge lives in consultants' heads | Knowledge is structured, signed, versioned |
| Prompt collections with no quality standard | Outcome modules with defined inputs and measurable outputs |
| Value ends when the project ends | Skills stay in your environment and keep working |
Your data. Your rules.
Your infrastructure. Your boundary.
Skill execution happens inside your AI platform or tenant. Prompts and outputs never pass through Beyond Blob Native infrastructure. Model vendor terms and DLP policies apply as you have already configured them.
GDPR. Frankfurt. Restrictable by region.
Skill artifacts and any optional telemetry are hosted on EU infrastructure. Frankfurt data residency is the default. Models can be restricted by geography when a workload requires it.
Your model. No training on your prompts.
Beyond Blob Native is skills — portable instructions, not models. At runtime, skills execute on the AI platform you already use, under your vendor's no-training terms for prompts, references, and outputs.
Every change is logged.
Skills are versioned. Each change ships with a changelog (what changed, why, who approved). Older versions remain available for rollback. You see exactly what your team's AI is doing on your behalf.
AI declared. Humans accountable.
AI use is declared in contracts and in output metadata. Every skill has named human accountability (the maker). Creation processes are logged and auditable. No black boxes.
DPA, GTC, and CC included.
Beyond Blob Native ships with a Data Processing Agreement, General Terms and Conditions, and Code of Conduct aligned to the EU AI Act. Legal review packs are available for procurement on request.
The skill you deploy today is not the skill you have in six months.
Skills are maintained, not shipped and forgotten. Here is what that looks like in practice.
What CIOs and CMOs actually ask.
How does the skill know our brand, audience, and tone?
Skills are calibrated to your inputs during onboarding. Brand guidelines, positioning, audience personas, compliance rules. These live in the skill as references. The maker reviews the calibration before the skill goes live.
What happens to our data when we use a Beyond Blob Native skill?
In all three integration options, the skill executes inside your AI platform or tenant. Prompts and outputs never transit Beyond Blob Native infrastructure. Your model vendor's terms apply.
Do we need a new AI platform to use Beyond Blob Native?
No. Beyond Blob Native deploys into the AI your team already uses. Microsoft Copilot, Claude, ChatGPT, or Gemini. No migration, no new login.
What if our AI platform does not speak MCP yet?
Use Option C. Skills are delivered as import packages that drop into whatever runtime you use. Google Gemini Gems, isolated sovereign setups, air-gapped assistants, and similar all sit on Option C until MCP support arrives.
Who is responsible if a skill produces a wrong answer?
Every skill has a named maker who is accountable for the content. You have a human to call. AI use is declared. Humans stay in the loop on every deliverable.
How do we start without a big commitment?
The entry tier (Skills) is a monthly subscription that costs less than a freelancer and can be cancelled on short notice. Most teams start there, prove value, and move into Workshop or Consulting when it makes sense.
Can we run Beyond Blob Native entirely on our infrastructure?
Yes. Option B (Copilot Studio) and Option C (Import) both run entirely inside your boundary. Option A (MCP) also executes inside your AI platform. For sovereign cloud or air-gapped setups, Option C is the path.