We build AI agents that actually ship. Not demos. Not pilots. Production systems your team uses every day.

Agents That Work

We build AI agents for Customer Success teams. Handoff automation. QBR prep. Risk detection. Expansion identification. Success plan generation.

These aren't chatbots bolted onto your existing tools. They're purpose-built agents that integrate with your stack. Salesforce, Gainsight, Gong, your data warehouse. They deliver outputs your team actually uses.

Blueprint First

We don't take a spec and start coding. That's how AI projects fail.

Every build starts with a Blueprint sprint. We map the workflow. Extract tribal knowledge. Design the future state. Build a prototype to validate the approach. Deliver a PRD with a high-confidence estimate.

Then we build.

You see working code before the big investment. Your technical team trusts the architecture. Your CFO trusts the estimate. Your CSMs trust that we understand their work.

Typical Build

Agent Development Simple to complex logic, tailored to your use case.

Input Integrations Salesforce, Gainsight, Gong, data warehouse, and more.

Output Integrations Docs, slides, CRM fields, Slack, email.

User Interface Chat, Slack bot, or custom dashboard.

Deployment UAT, production rollout, monitoring.

Training Change management support for your team.

Pricing

Pricing varies by complexity. Most single-use-case builds land $80-150k. Multi-use-case programs can reach $400k.

Your first use case costs the most because it establishes security, data models, integrations, and core architecture. Use cases 2+ are 30-35% cheaper. You're building a platform, not one-off projects.

Scope Your Build

Use our calculator to configure your use case and get an instant estimate. See the Blueprint and Build investment side by side.

Frequently Asked Questions

How long does it take to build a custom AI agent?

6-10 weeks for a single use case, after the blueprint sprint. Complex multi-use-case programs take 3-6 months. Timeline depends on: agent complexity, number of integrations, interface requirements, and your team's availability for testing and feedback.

How much does a custom AI agent cost?

Most single-use-case builds land $80,000-$150,000, including integrations, interface, and training. The blueprint sprint is $35,000. Multi-use-case programs can reach $400k. Use our calculator for a custom estimate.

What is the infrastructure tax?

The infrastructure tax is why your first AI agent costs more than subsequent ones. The first use case funds foundational setup—security protocols, data models, core integrations, infrastructure setup, governance frameworks. Once that infrastructure exists, use cases 2+ cost 30-35% less. You're adding features to an existing platform, not starting over.

Should I build an AI agent in-house or hire a partner?

Building in-house typically costs $375,000+ and takes 9-12 months (hiring, onboarding, learning curve). The challenge isn't just finding an AI engineer, it's finding one who understands CS workflows. Method Garage delivers production agents for $80-150k in 6-10 weeks because we've solved these same problems before.

Should I buy a CS platform or build a custom AI agent?

Off-the-shelf platforms offer generic AI modules that are rigid and hard to customize. Customizing them takes months with no guarantee of success. Building a targeted agent delivers a production solution in weeks. You own the code and there are no recurring SaaS fees or vendor lock-in. Build wins when you need a tailored fit.

What systems do AI agents integrate with?

We integrate with all the common CS-related systems: Salesforce, HubSpot, Gainsight, Gong, Slack, Microsoft Teams, Google Workspace, and common data warehouses. We can tackle custom integrations with legacy systems, proprietary databases, internal tools, and spreadsheet exports. Integration complexity affects pricing.

Do I own the code?

Yes. The agent becomes a proprietary asset that lives in your cloud. No recurring SaaS fees, no vendor lock-in. If the partnership ends, you keep everything. This is a key difference from buying a platform. You're building an asset, not renting a feature.