AI IMPLEMENTATION_
Service · Deploy to Production
AI implementation services that go live, not live in a deck.
For teams that have an AI strategy or model and need a technical partner to deploy it, integrate it, and make it stick in production.
Engagement: $35K to $300K
Duration: 4 to 16 weeks
Team: 1 architect + 2 to 3 engineers
Output: Live production system
AI Integration Services
FROM
APPROVED.
TO RUNNING.
Most AI projects stall between strategy and production. Our AI implementation services bridge that gap, deploying models via APIs, integrating AI into your existing stack, and connecting new systems to legacy infrastructure without tearing it apart.
4 weeks
Avg to first integration
Scoping to live API
99.7%
Avg system uptime
Across managed deployments
62%
Avg process time reduction
Post AI integration services
100%
Client IP ownership
All code and configs
Four to sixteen weeks · Four phases
THE METHOD
Every AI implementation services engagement follows four phases. Each phase has a fixed output and a sign-off gate before the next begins.
Phase 01 · 1 to 2 WEEKS
Technical Discovery
We audit your current stack, data flows, integration points, and compliance requirements.
Current stack audit
Integration point map
Compliance and security review
Technical scoping document
Phase 02 · 1 to 2 WEEKS
Architecture Design
We design the deployment architecture, API layer, data pipelines, and legacy system ai integration plan before writing a single line of code.
Deployment architecture
API design specification
Data pipeline blueprint
Legacy integration plan
Phase 03 · 2 to 8 WEEKS
Build and Integration
We deploy AI with APIs, connect models to your existing systems, and build the middleware, webhooks, and connectors your stack requires.
Live API deployment
System integrations complete
QA and load test results
Security audit
Phase 04 · 1 to 2 WEEKS
Go-Live and Handover
Staged rollout, monitoring setup, team training, and full documentation handover.
Production deployment
Monitoring dashboard
Team training session
Full runbook documentation
Six capabilities
WHAT WE DELIVER
01 -
API Deployment
We deploy AI with APIs built for reliability, scale, and security.
02 -
AI System Integration
We connect AI models to your CRM, ERP, data warehouse, or internal tools.
03 -
Legacy System AI Integration
We integrate AI into legacy infrastructure without requiring full replacement.
04 -
Cloud Infrastructure Setup
Full cloud environment setup on AWS, Azure, or GCP.
05 -
Data Pipeline Development
ETL, streaming pipelines, and data warehouse connections for production AI.
06 -
MLOps and Monitoring
CI/CD pipelines, retraining triggers, drift detection, and performance dashboards.
Built for these teams
WHO THIS IS FOR
CTO / Head of Engineering
You have a model or vendor solution ready to deploy and need clean integration + handover documentation.
Operations or IT Director
Your workflows are approved for AI but your internal team lacks MLOps and integration depth.
Product or Transformation Lead
You are rolling out an AI product and need systems connected end to end.
What clients say
TRUSTED BY TEAMS THAT SHIP
"alien.fi's custom ai development team built our fraud detection model from scratch. It went live in 11 weeks and cut our fraud losses by 47% in the first year."
Chief Technology Officer, Regional Financial Services Company
"We had a 15-year-old claims system that no vendor wanted to touch. alien.fi's legacy system ai integration approach had us live in 11 weeks."
VP of Technology, Insurance Group
"Their ai system integration work connected five separate platforms into a single data flow."
Head of Operations, Healthcare Provider Network
Got questions
FAQS