AI Stack for an Agency

An agency serves multiple clients with different needs. You need tools that scale across clients, support white-labeling where relevant, and keep costs predictable. This guide covers client-facing vs. internal tools, stacks by agency type, and scaling patterns.

The Constraint

Multiple clients. Different needs. White-labeling or white-glove delivery. Scalability: tools that work for 5 clients and 50 clients.

Client-Facing vs. Internal Tools

Client-facing — What clients see or interact with. Chatbots, dashboards, content. May need white-labeling or custom branding.

Internal — What powers your work. Writing, design, project management, research. Clients never see these.

Separate the two. Client-facing tools have different requirements (branding, compliance, SLAs). Internal tools prioritize productivity and cost.

Content Agencies

Writing — LLM for drafts. Writing assistants with templates. Style guides for consistency.

Design — Image generators (Midjourney, DALL·E, Flux). Design tools with AI (Figma, Canva). Brand consistency via prompts and style guides.

Video — AI video tools for editing, summaries, thumbnails. Still evolving.

Social media — Content generation, scheduling, repurposing. One tool per platform or one multi-platform tool.

Marketing Agencies

SEO — Keyword research, content optimization, technical SEO. AI for briefs and audits.

Paid ads — Ad copy, creative testing, bid optimization. AI for copy; human for strategy.

Email — Subject lines, personalization, send-time optimization. Integration with email platforms.

Analytics — Reporting, attribution, predictive analytics. AI for insights and summaries.

Development Agencies

Coding — Cursor, Copilot. Per-developer tools.

Deployment — CI/CD with AI. Infrastructure as code. Automation for repetitive tasks.

Project management — Specs, PRDs, sprint planning. AI for documentation and estimates.

White-Label Considerations

When clients see the output, check:

Can you remove or white-label the tool's branding?
Are there usage limits per client?
Can you pass through compliance (SOC 2, GDPR) to clients?

Some tools allow white-label; others do not. Factor this into tool selection for client-facing work.

Per-Client vs. Flat-Rate Tool Costs

Per-client — Cost scales with client count. Good when each client has dedicated resources. Can be expensive at scale.

Flat-rate — One cost regardless of clients. Good when you share capacity. Watch for usage limits.

Hybrid — Some tools flat, some per-client. Optimize for your highest-cost categories.

Scaling Patterns

5 clients — Shared tools. One LLM, one writing assistant, one image tool. Manual handoffs between clients.

20 clients — More specialized tools. Maybe per-client knowledge bases or chatbots. Workflow automation to reduce manual work.

50+ clients — Platform approach. Centralized tools with client-specific configs. Automation for onboarding, reporting, and delivery.

How This Connects to Hokai

Run >Smart Match with context: "agency, X clients, content/marketing/dev." Hok returns role-specific stacks. Use the >Model Directory to filter by white-label and compliance. >Smart Match for Agencies has agency-specific guidance.

The Bottom Line

For agencies, separate client-facing and internal tools. Choose stacks by agency type (content, marketing, dev). Consider white-labeling and per-client vs. flat-rate costs. Scale tools as client count grows. Use Smart Match for agency context and role-specific recommendations.