Service
AI Software
Development
Off-the-shelf AI platforms solve generic problems. Your operational challenges are specific — and the software that addresses them should be too. ACG's engineering team builds custom ML systems, operational intelligence dashboards, and automation platforms designed for your exact context and built to production standards.
100%
Production deployments — zero proof-of-concept only engagements
<90
Days from project start to production deployment for standard builds
99.7%
Average uptime SLA across deployed operational platforms
4.9/5
Average client satisfaction score for development engagements
What We Build
Four Categories of Custom AI Software
Custom ML Systems
End-to-end machine learning systems built to your exact problem specification — from data pipeline design through model training, evaluation, deployment, and ongoing maintenance. We build for production reliability, not proof-of-concept demos.
Operational Intelligence Dashboards
Real-time operational visibility platforms that surface the metrics, signals, and alerts your operations team needs to manage performance proactively. Built for enterprise data volumes with sub-second query response.
Automation Platforms
Intelligent automation systems that go beyond simple RPA — incorporating decision logic, exception handling, and AI-augmented judgment to handle the full range of your operational workflows.
AI Integration Layers
When you need AI capabilities embedded into existing platforms — not a new system — we build the integration layer that connects AI models, data pipelines, and decision logic to your current technology stack.
Technology Stack
Enterprise-Grade Technology Choices
We select technologies based on fit to your problem, not trend-following. Every technology choice is justified and documented.
languages
ml Frameworks
infrastructure
data
frontend
ml Ops
Engineering Standards
Built to Enterprise Quality Standards
The AI software market is full of impressive demos that fail in production. Our engineering practice is designed around the operational reality your team will actually live with — reliability, maintainability, observability, and security.
Production-First Engineering
We build for production from day one — not research-grade prototypes that require complete rewrites before deployment.
Explainable AI Standards
Every model includes interpretability tooling so your team and auditors can understand decision logic.
Observable Systems
All platforms ship with structured logging, metrics instrumentation, and distributed tracing as standard.
Security by Design
Data access controls, encryption at rest and in transit, and security review are built into every engagement.
Development Process
Technical Discovery & Architecture Design
Weeks 1–3
We define the technical architecture, data flow design, and integration requirements. Every system is designed for the performance, reliability, and scalability profile your operational context requires.
Core Development & Integration
Weeks 4–10
Agile development sprints with weekly demos. We build in tight collaboration with your technical team, incorporating feedback iteratively rather than delivering a completed system blind.
Production Deployment & Hardening
Weeks 11–13
Production deployment with load testing, security review, failover configuration, and monitoring setup. We do not hand over code and disappear — we ensure the system is genuinely production-ready.
Handoff & Managed Support
Ongoing
We provide knowledge transfer to your engineering team with thorough documentation, pair programming sessions, and optional managed support arrangements for ongoing model maintenance, retraining, and platform evolution.
Get Started
Transform Your Operations
With AI
Augmentation Consulting Group helps organizations identify inefficiencies, implement AI systems, and unlock predictive decision-making. Let's explore what's possible for your operations.