You need AI features in your product this quarter, not a six-month platform rebuild.
Service
Add AI capabilities to the product you already have.
We integrate AI models and APIs into your existing application — search, summarization, chat, recommendations — without a rebuild, so the features you need to ship this quarter actually ship.
Integration flowActive
- Audit existing systemMap data, APIs, and constraints
- 02Select AI provider & approachAPI, SDK, or self-hosted model
- 03Build the integrationAuth, data flow, error handling
- 04Test against real dataAccuracy, latency, cost checks
- 05Ship and monitorUsage and performance tracking
Why teams come to us
What this service helps you solve
Your engineering team doesn't have bandwidth to learn a new AI vendor's API and SDK.
A rushed AI integration is timing out, returning inconsistent results, or costing more than expected.
You're not sure which AI provider fits your existing stack, data, and compliance requirements.
Deliverables
What’s included
System audit of existing data, APIs, and architectureAI provider and approach selectionAPI/SDK integration into your existing codebaseAuthentication, rate limiting, and error handlingCost and latency testing against real dataFallback and failure-mode handlingMonitoring and usage dashboardsStatement of work before billing
Process
How the service works
- 01
Audit your existing system, data, and constraints
- 02
Select the AI provider and integration approach that fits
- 03
Build the integration into your current codebase
- 04
Test accuracy, latency, and cost against real traffic
- 05
Ship with monitoring and fallback handling in place
- 06
Continue or close based on engagement type
Roles
Roles that may support this service
AI EngineerBackend DeveloperIntegration EngineerQA Engineer
Final roles are recommended after discovery.Discovery before SOW
Discovery comes before every reliable statement of work.
Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.
What discovery documents
- Business goals
- Product goals
- Technology stack
- Current situation
- Required roles
- Timeline expectations
- Budget expectations
- Risks and unknowns
- Success criteria
FAQ
Questions about this service
Usually not. Most AI integrations connect to your existing application through an API or SDK layer, so we scope the smallest change that gets the feature into production reliably.
During discovery we evaluate your data, compliance requirements, latency needs, and budget against available providers, then recommend the fit rather than defaulting to whichever is trending.
We build fallback logic, timeouts, and monitoring into the integration itself, and a human reviews flagged edge cases so a provider issue doesn't become a user-facing outage.