AI & Intelligent Automation

AI and automation that earn their place in production.

AIM brings generative and agentic AI, embedded analytics, and intelligent automation into the systems your teams already use. We start with architecture, tie every model, agent, and bot to a measurable outcome, and stay vendor-neutral across the AI ecosystem.

Agentic AI
Multi-agent systems
200+
AI implementations
Vendor-neutral
Microsoft, IBM, Anthropic & more
AI & Intelligent Automation
What we deliver

Generative AI, embedded analytics, intelligent automation.

01

Generative & Agentic AI

  • Use-case selection and adoption roadmap
  • RAG and grounding architecture
  • Multi-agent systems and LLM-powered applications
  • Governance, guardrails, and human-in-the-loop workflows
02

AI & Advanced Analytics Integration

  • Model integration into apps and workflows
  • Real-time scoring and inference
  • Embedded analytics and decision intelligence
  • Continuous model improvement
03

Intelligent Automation (RPA)

  • Process assessment and ROI prioritization
  • Attended and unattended bots
  • AI-augmented automation that handles judgment, not just clicks
  • Orchestration, monitoring, and CoE governance

AI is only as good as the data under it. Data engineering, governance, machine learning, and NLP sit in our Data, Analytics & Governance practice.

Why AIM

AI that earns its place in production.

Architecture-First

Every AI initiative starts with data and system architecture, scalable and governable, built to outlast the project.

Outcome-Driven

Every model, agent, and bot is tied to a measurable result, faster time-to-insight, reduced risk, accelerated delivery.

Vendor-Neutral

Delivery across Microsoft, IBM watsonx, Anthropic's Claude, Botpress, and Jasper.AI, so you build on the investments you already hold.

Pragmatic Delivery

Realistic roadmaps that deliver value early and build your team's own AI capability alongside the technology.

Our approach

Assess. Architect. Build. Operate.

1

Assess

Data readiness, use-case, and process evaluation.

2

Architect

Data and AI architecture designed for governance and scale.

3

Build

Models, agents, and bots built, tested, and tied to an outcome.

4

Operate

Governed, production-deployed, and continuously monitored.

Get started

Ready to put AI into production?

AIM architects, builds, and runs AI and intelligent automation, governed, outcome-driven, and vendor-neutral from day one.