Services
Three services. Production-ready AI.
We don't sell hours. We sell outcomes. Every engagement has a fixed scope, a fixed price, and a fixed timeline.
AI Feature Integration
Ship the AI feature your users are asking for. In 30 days.
The problem
Your product needs AI capabilities — but your engineering team doesn't have LLM production experience, and you can't afford to pull senior engineers off the roadmap for a 3-month exploration phase.
What we build
We integrate production-ready AI features directly into your SaaS product. Not a bolted-on chatbot. Not a prototype. A real feature, in your codebase, behind your authentication, using your data.
In-product copilots
AI assistants that understand your domain model and can answer questions, suggest actions, and execute workflows
Intelligent document processing
Extract structured data from unstructured documents with validation and human-in-the-loop review
AI-powered search
Replace keyword search with semantic understanding, natural language queries, and AI-generated answers
Smart automation
AI agents that handle multi-step workflows requiring judgment, not just simple if/then rules
Deliverables
- ✓Production code merged into your repository
- ✓Architecture Decision Record documenting every technical choice
- ✓Prompt library with version control strategy
- ✓Monitoring dashboards (latency, cost, error rate, usage)
- ✓Cost projection model at 1x, 5x, and 10x scale
- ✓Evaluation suite with 50-100+ test cases
- ✓Incident response playbook for AI-specific failures
- ✓90-minute recorded handoff session
- ✓30 days of async support
| Tier | What you get | Investment |
|---|---|---|
| Starter | 1 AI feature, single model integration, production hardening | $18,000 |
| Standard | 2-3 AI features, model evaluation, streaming, advanced error handling | $25,000 |
| Premium | Full AI layer with evaluation pipeline, A/B testing, per-segment personalization | $35,000 |
Timeline: 3-5 weeks depending on scope.
AI Reliability Engineering
Your AI feature is in production. Is it actually working?
The problem
You shipped an AI feature fast. Now you're dealing with the consequences: unpredictable API costs, hallucination incidents, no observability into what the model is actually doing, and a growing Slack channel of users reporting "weird AI responses."
What we audit and fix
Reliability
Fallback chains, circuit breakers, retry logic, graceful degradation
Cost
Token tracking, prompt optimization, semantic caching, tiered models
Latency
Pipeline profiling, streaming, caching, latency budgets
Observability
LLM-specific monitoring, quality metrics, dashboards, alerting
Quality
Evaluation suites, structured outputs, validation, regression tests
Deliverables
- ✓Comprehensive audit report (20+ pages, specific to your system)
- ✓All fixes implemented in your codebase
- ✓Before/after metrics dashboard
- ✓Cost reduction projection with 90-day tracking
- ✓Incident response playbook
- ✓Monitoring and alerting configuration
- ✓Recorded handoff session + 30 days async support
| Tier | What you get | Investment |
|---|---|---|
| Audit Only | Report with prioritized recommendations (no implementation) | $8,000 |
| Audit + Fix | Report + implementation of top 5 critical fixes | $18,000 |
| Full Hardening | Complete reliability overhaul across all five dimensions | $28,000 |
Typical results
40-70% reduction in AI API costs · 90%+ reduction in AI-related incidents · 50%+ improvement in p95 latency
AI-Powered Internal Tooling
Stop hiring people to do work that AI should handle.
The problem
Your operations team is spending 30+ hours per week on manual, repetitive work that requires some judgment — triaging support tickets, processing documents, routing requests, compiling reports. Zapier handles the simple stuff. The rest requires a human. Until now.
Common builds
AI support triage
Auto-classify, prioritize, and route tickets. Draft responses for common issues.
Document processing
Extract structured data from contracts, invoices, or applications with validation.
Workflow agents
AI that operates across your SaaS tools to execute multi-step workflows.
Knowledge assistants
Internal tools that answer employee questions using your docs and runbooks.
Deliverables
- ✓Deployed, working tool in your infrastructure
- ✓Source code in your repository
- ✓API integrations with your existing tools
- ✓Human-in-the-loop review system for edge cases
- ✓Usage and ROI tracking dashboard
- ✓Deployment and maintenance documentation
- ✓60-minute team training session
- ✓30 days of async support
| Tier | What you get | Investment |
|---|---|---|
| Single Tool | 1 focused internal tool | $15,000 |
| Tool Suite | 2-3 connected tools with shared infrastructure | $25,000 |
| Platform | Internal AI platform with multiple tools and self-serve configuration | $35,000 |
Timeline: 3-6 weeks depending on scope.
Not sure which service fits?
Book a 30-minute technical assessment. We'll review your architecture, discuss what you're trying to achieve, and recommend the right approach — even if that approach doesn't involve us.
No commitment. No pitch deck. Just a technical conversation with the engineer who'll do the work.