Question 1

What does Method Garage do?

Accepted Answer

Method Garage builds production-grade AI agents for B2B teams. We specialize in automating workflows like QBR prep, customer handoffs, risk detection, success plans, and expansion identification. We take companies from pilot purgatory to production in under 90 days.

Question 2

How long does it take to build an AI agent?

Accepted Answer

Our typical timeline is: 3 weeks for a Readiness & Roadmap assessment, 3 weeks for a Design & Prototype sprint, and 6-10 weeks for a full production build. End-to-end, you can go from idea to production agent in under 90 days.

Question 3

How much does it cost to build an AI agent?

Accepted Answer

Our Readiness & Roadmap assessment is $40,000-$60,000. Design & Prototype sprints are $35,000-$45,000. Full production builds typically range from $80,000-$150,000 depending on complexity and integrations. Multi-use-case programs can reach $400,000. Subsequent use cases cost 30-35% less due to infrastructure reuse.

Question 4

What AI use cases does Method Garage build?

Accepted Answer

We build AI agents for: Customer Handoffs (synthesizing account context), Kickoff & Success Plans (auto-generating from CRM and calls), Risk Detection (surfacing at-risk accounts 30 days earlier), QBR Prep (reducing 12 hours to 30 minutes), and Expansion Identification (finding upsell opportunities). We also build custom agents for other internal workflows.

Question 5

Who is Method Garage for?

Accepted Answer

We work with B2B companies that have post-sales teams (Customer Success, Support, Professional Services) struggling to move AI initiatives from pilot to production. Our sweet spot is organizations with 500+ employees who have scattered AI experiments but no coordinated strategy or shipped agents.

Question 6

What makes Method Garage different from other AI consultancies?

Accepted Answer

We have triple fluency: CS domain expertise (we've spent a decade inside post-sales orgs), AI engineering capability (our technical team includes PhDs and former CTOs from enterprise data companies), and workflow design skills (10 years of journey mapping). Big consulting is slow and hands you a PDF. Dev shops don't understand your workflows. We're the bridge—strategy plus build.

Question 7

Do I need a prototype before building a full AI agent?

Accepted Answer

Yes, every build starts with a Design & Prototype sprint. We don't take a spec and start coding—that's how AI projects fail. The prototype validates the approach, shows working code on real data, and gives you a high-confidence estimate before the big investment. It also helps you get budget approval by showing something working.

Question 8

What systems does Method Garage integrate with?

Accepted Answer

We integrate with common B2B tech stacks including Salesforce, Gainsight, Gong, HubSpot, data warehouses (Snowflake, BigQuery), Slack, email systems, and custom APIs. Outputs can be documents, slide decks, CRM field updates, Slack alerts, or custom dashboards.