Use case · Agencies
AI workspace for agencies managing multiple clients
Agencies do not have one AI bill. They have writers on ChatGPT, strategists on Claude, and account managers who opened Plus once for a pitch deck. Client context gets dangerous when it lives in personal tabs.
Cost comparison
What a 22-person agency spends before centralizing
Agencies mix tools by role. Creative teams burn tokens; account managers often keep subscriptions they barely touch between client cycles.
Typical setup
Role-based tool sprawl
~$520/month before overages
- 12 × ChatGPT Plus for copy and social → $240/month
- 5 × Claude Pro for strategy and long-form → $100/month
- 3 × Gemini Advanced for research → $60/month
- 2 shared Team seats → $50/month
- Weekend launch spikes → rate limits force extra tool purchases
- 7 account managers with light usage still on full personal plans
With Intrascope
Intrascope Business + client usage
~$99 workspace + ~$120 usage ≈ $219/month
- $99/month for 25 users across creative, strategy, and account teams
- ~18M tokens/month across active client work (copy, decks, reporting)
- Per-project usage view for margin and client billing conversations
- Manifests per client reduce off-brand retries and wasted tokens
- No separate Claude + ChatGPT stack to reconcile every month
Typical agency usage profile
Agencies are token-heavy during campaign sprints. A 22-person shop with 8-10 active clients often lands at 15-22M tokens/month.
Copy team (8)
~2.1M tokens each: ads, emails, social batches
Strategy (4)
~900k tokens each: briefs, audits, decks
Account / PM (6)
<120k tokens for recaps, light edits
Blended model split
50% ChatGPT 5.5 · 35% Claude · 15% Gemini / ChatGPT (nano, micro)
Models agencies route by task
- ChatGPT 5.5 for high-volume ad variants and social copy
- Claude for strategy docs, audits, and long client briefs
- Gemini or ChatGPT (nano, micro) for research sweeps and internal notes
Common problems
What breaks when agencies rely on personal AI accounts
- Client A's tone of voice sits in a copywriter's ChatGPT history, not in your agency workspace.
- Writers hit ChatGPT rate limits during launch week while account leads barely use their seats.
- You cannot invoice AI cost per client when usage is scattered across personal accounts.
- Freelancers paste client data into personal tools with no audit trail.
How Intrascope helps
Built for how agencies actually use AI
- Give each client a project with manifests for voice, restrictions, and approved claims.
- Route long-form strategy to Claude and ad variants to ChatGPT 5.5 without separate logins.
- See token usage per client project when scoping retainers and pass-through costs.
- Reuse winning frameworks across accounts without exporting chat transcripts.
Knowledge ownership
Client know-how stays with the agency
Winning hooks, rejected angles, and approved messaging are agency IP. They should live in manifests tied to client projects, not in whichever freelancer ran the chat that month.
Account managers who touch AI twice a week should not each carry a $20 ChatGPT bill. Intrascope spreads workspace access while token spend follows the creative work.
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