60-day production AI agent.
Built into your product.
We build production-grade AI agents for B2B SaaS companies in 60 days. Integrated into your existing product, deployed to your infrastructure, with telemetry and evaluation built in. Same engineering practice that ships LYFYE Studio's Mia, available as a delivery engagement for your product.
ANCHOR PRICING
Three engagement tiers. Fixed scope. Stated timeline.
Every tier is fixed-fee with explicit deliverables. No scope creep, no T&M change orders. If we cannot deliver in the stated window, we refund the engagement.
Foundation
$75K
60 days, fixed fee
Single-tenant agent integrated into one product surface. Production-ready with telemetry and evaluation, but not designed for multi-tenant scale.
- One agent, one use case
- Up to three tool integrations
- Audit telemetry to your SIEM or our schema
- Eval harness with 50+ test cases
- 30 days post-launch support
$125K
60 days, fixed fee
Multi-tenant agent integrated into your product with documented isolation patterns and customer-grade telemetry. The configuration most B2B SaaS deployments need.
- Multi-tenant agent with documented isolation
- Up to six tool integrations
- Customer-facing usage telemetry
- Eval harness with 150+ test cases
- SOC 2 evidence pack alignment
- 30 days post-launch support + 60-day check-in
Enterprise
$200K
60 to 90 days, fixed fee
Multi-agent system with orchestration, deep tool integration, regulated data handling. For products where the agent is a strategic differentiator.
- Multi-agent orchestration
- Up to twelve tool integrations
- HIPAA, SOC 2, or CMMC-aligned architecture
- Eval harness with 300+ test cases
- Audit-grade telemetry with regulated retention
- 90 days post-launch support + quarterly check-ins for one year
Why 60 days is realistic
We have shipped this exact pattern before. LYFYE Studio's Mia is a production AI Content Strategist that runs on the same Next.js, Prisma, Postgres, Inngest, Anthropic Claude stack we deliver to clients. The architecture template is mature. The hard problems (telemetry schema, eval harness, multi-tenant isolation, prompt change control) are already solved patterns that we adapt to your domain rather than invent from scratch.
See Mia in production at studio.lyfye.com→What you get on day 60
- Production deployment in your environment, integrated with your auth, data, and product UX
- Telemetry pipeline emitting structured events to your observability stack
- Eval harness your team can run on every prompt change
- Architecture document and runbook for your engineering team to own
- Code review session with your senior engineers, full knowledge transfer
ENGAGEMENT PROCESS
From scoping call to deployed agent in 60 days.
Week 0
Scoping call
30 minutes. We confirm fit, identify the agent use case, name the success criteria, and quote the right tier. If we are not the right fit, we say so.
Weeks 1 to 2
Architecture and contract
Architecture document delivered in week one. Contract signed in week two. No code is written before the architecture is approved.
Weeks 3 to 8
Build sprints
Six one-week sprints. Working software every Friday. Daily Slack channel with your team. Bi-weekly demos with your stakeholders.
Weeks 9 to 10
Production launch
Final week of build, then production deployment, telemetry validation, eval harness handoff, knowledge transfer.
Strong fit for this engagement
- B2B SaaS, $10M to $100M ARR
- Series B-D funded in last 24 months
- Engineering team of 10+ that can own the agent post-handoff
- Specific use case identified, not "we want AI"
- Decision authority on the call (CTO, VP Eng, or named delegate)
Not a fit, and we will tell you directly
- Pre-revenue or pre-product. We are not a build-for-hire MVP shop.
- Vague "we need an AI strategy" mandate without specific use case
- Looking for offshore developer rates
- Want us to operate the agent long-term rather than transfer ownership
- Stack we cannot work with cleanly (legacy mainframe, custom non-cloud infrastructure)
Two ways to start.
Most prospects start with the live demo because it answers the "can they actually do this" question in five minutes. Some skip directly to a scoping call because they already know they want a partner. Either path is fine.