Telecom white-label
A Partner-Branded AI Workspace for Your Business Customers
Intrascope powers a white-label AI workspace that operators can sell under their own brand. You keep the customer relationship, sales, and billing. We provide the platform, governance, and product support.
- Build once on Intrascope, sell locally under your brand
- Bundle AI with cloud, connectivity, M365, and security
- SMB, mid-market, and private or sovereign deployments
The operator challenge
Business customers already use AI. Most of it sits outside your portfolio.
SMB and mid-market teams adopt ChatGPT, Claude, and other tools on personal accounts. That spend and risk leave the operator's product set, even when those same customers already buy cloud, connectivity, and security from you.
AI sits next to your stack, not inside it
Customers buy AI elsewhere while you already own the relationship for cloud, M365, connectivity, and security.
No governed offer to attach
Without a packagable AI workspace, sales teams cannot add a credible AI line to existing B2B deals.
Consumer tools do not meet operator standards
Personal AI accounts lack admin control, usage visibility, spending limits, and deployment choice that business customers expect from you.
Building from scratch is slow
A full multi-model workspace with governance and analytics is a product, not a feature. Most operators need a partner layer, not a greenfield build.
The distribution model
You own the customer. We power the product.
Intrascope is the AI control layer behind your brand. Operators get a repeatable white-label package. Business customers get a shared workspace with models, context, access control, and spend visibility.
Multi-model workspace
Your customers access leading models from one interface, with projects and shared context that stay under company control.
Admin, governance, and analytics
Model policies, usage by user and project, spending limits, and the reporting ops and finance teams need.
Sold under your brand
You own sales, billing, L1 support, and the customer relationship. Intrascope stays the platform behind the offer.
Attach to what you already sell
Bundle AI with cloud, connectivity, Microsoft 365, and security so the workspace strengthens the existing B2B portfolio.
Private and sovereign options
Support regulated and enterprise accounts with private or sovereign deployment choices when the customer requires them.
L2 and L3 product support
Your team handles front-line support. We back the product, platform, and deeper technical issues.
How the partnership works
Build once. Sell locally. Deploy into your base.
A simple distribution wedge: Intrascope builds the platform, the telecom brand sells it, and B2B customers run AI inside a governed workspace.
01
01 · Build once · Intrascope platform
- Multi-model workspace
- Admin, governance, and analytics
- L2 and L3 product support
02
02 · Sell locally · Telecom partner brand
- Owns customer, sales, billing, and L1
- Bundles AI with cloud, connectivity, M365, and security
- Keeps the commercial relationship
03
03 · Deploy into base · B2B customers
- SMB and mid-market teams
- Regulated enterprise accounts
- Private or sovereign deployment options
A telecom white-label motion turns Intrascope from a direct SaaS-only product into partner-distributed AI infrastructure for B2B portfolios.
Deployment
Fit the deployment to the customer, not one hosting model
Operators serve mixed bases. Some customers want managed SaaS. Others need private or sovereign options.
Managed SaaS
Fastest path for SMB and mid-market teams that want a governed workspace without running infrastructure.
Best suited for: Volume B2B and attach to existing cloud packages
Private cloud
Dedicated environments when customers need stronger isolation while still using a full product surface.
Best suited for: Larger business accounts and regulated verticals
On-premise / hybrid
Keep sensitive workloads closer to the customer while still offering multi-model access and admin control.
Best suited for: Enterprise and sovereign requirements
BYOK or managed usage
Customers can bring provider keys or run on managed usage, depending on how you want to bill and package the offer.
Best suited for: Flexible commercial packaging inside your portfolio
See how a white-label package would fit your portfolio
Bring one target segment and an existing cloud or connectivity package. We will map packaging, support split, and a first pilot shape.
Getting started
From portfolio fit to named pilots
Partnerships start with packaging, not a mass rollout. Align the offer, then prove it with a small set of business customers.
- 01
Map the offer to your portfolio
Define how the AI workspace sits next to cloud, connectivity, M365, and security, including pricing and who owns each support tier.
- 02
Agree packaging, RACI, and SLA
Lock brand presentation, commercial model, responsibilities, and the support split between your L1 and our L2/L3.
- 03
Run 2-3 named pilot accounts
Pick business customers already in your base. Prove attach rate, usage, and support readiness before a wider launch.
- 04
Scale through existing sales motions
Once the package works, your teams can attach it to renewals and new B2B deals without rebuilding the product each time.
Inside the product
What operators put in front of business customers
The same control layer enterprises use directly, packaged for partner distribution.
Talk through a telecom partnership
Share your market, B2B motion, and where AI should attach. We will outline the white-label path together.
Why operators choose this
What the white-label motion unlocks
A new AI product for your existing base
Sell a governed AI workspace to customers who already buy connectivity, cloud, and security from you.
Higher portfolio value per account
AI becomes an attach line, not a competitor sitting in personal ChatGPT accounts.
You keep the commercial relationship
Sales, billing, and L1 stay with the operator. The platform does not insert itself between you and the customer.
Repeatable packaging instead of one-off builds
One white-label package, sold many times through the motions your teams already run.
Clear revenue lines
Software licence and implementation, plus managed AI usage and private deployments where needed.
Support model that fits operators
Your brand owns the customer experience. Intrascope backs deeper product and platform issues.
Before and after
AI next to your portfolio, or inside it
Same business customers. The difference is whether AI spend and control stay with consumer tools or sit under your brand.
| Topic | Without a telco AI offer | With Intrascope white-label |
|---|---|---|
| Who owns the AI relationship | Consumer AI vendors and personal accounts. | The operator, under the partner brand. |
| Portfolio attach | AI spend leaves cloud, M365, and security deals. | AI attaches to the packages you already sell. |
| Governance for customers | Scattered seats, little admin control. | Shared workspace with policies, limits, and analytics. |
| Build effort | Year-long platform build or no offer at all. | Partner package on a shipping control layer. |
| Support | Customers escalate into consumer help desks. | Your L1, with Intrascope on L2 and L3. |
| Deployment choice | Whatever each end customer picks alone. | SaaS, private, hybrid, or sovereign options you can sell. |
Who owns the AI relationship
Without a telco AI offer
Consumer AI vendors and personal accounts.
With Intrascope white-label
The operator, under the partner brand.
Portfolio attach
Without a telco AI offer
AI spend leaves cloud, M365, and security deals.
With Intrascope white-label
AI attaches to the packages you already sell.
Governance for customers
Without a telco AI offer
Scattered seats, little admin control.
With Intrascope white-label
Shared workspace with policies, limits, and analytics.
Build effort
Without a telco AI offer
Year-long platform build or no offer at all.
With Intrascope white-label
Partner package on a shipping control layer.
Support
Without a telco AI offer
Customers escalate into consumer help desks.
With Intrascope white-label
Your L1, with Intrascope on L2 and L3.
Deployment choice
Without a telco AI offer
Whatever each end customer picks alone.
With Intrascope white-label
SaaS, private, hybrid, or sovereign options you can sell.
Where it lands first
Customer segments operators usually start with
Most partners begin with customers already in the base, then expand packaging once support and attach are proven.
SMB teams replacing personal ChatGPT seats
Give smaller business customers one company workspace instead of a pile of individual subscriptions.
Mid-market firms that need admin control
Projects, model policies, and spend visibility for companies that have outgrown consumer AI tools.
Customers already buying cloud and M365
Attach AI to the same commercial motion that already sells productivity and cloud packages.
Security-conscious professional services
Consulting, legal, and advisory teams that need client context kept out of personal AI accounts.
Regulated enterprise accounts
Private or sovereign deployment paths when the customer cannot use a shared public SaaS only.
Renewal and upsell conversations
Add an AI workspace line when connectivity or cloud contracts come up for renewal.
FAQ
Questions teams ask before they switch
Yes. The commercial offer is yours. Customers see your brand for sales, billing, and front-line support. Intrascope powers the workspace behind it.
A governed multi-model AI workspace: shared projects, company context, model access control, usage analytics, spending limits, and optional private deployments.
You do. Sales, billing, and L1 support stay with the operator. Intrascope provides L2 and L3 product support.
That is the intended motion. The workspace is designed to attach to packages operators already sell to business customers.
Not necessarily. Packaging can use managed usage, customer BYOK, or a mix, depending on how you want to price and operate the offer.
Yes. Managed SaaS covers many SMB and mid-market needs. Private cloud, hybrid, and on-premise options are available for customers that require them.
With portfolio fit, packaging, RACI, and SLA, then 2-3 named pilot accounts in your existing base before a broader sales push.
No. Direct SaaS remains one motion. Telecom white-label is how operators distribute the same control layer through their B2B portfolios.
Explore the rest of the platform
Learn more
Ready to bring company AI usage under control?
Give your business customers a branded AI workspace, keep the commercial relationship, and add an AI line to the portfolio you already sell.