AI Engineering

AI Adoption & Agentic Systems

Production-grade AI agents embedded directly into your workflows — automating decisions, routing tasks, and integrating with ERP, CRM systems.

AI Agents GenAI Integration Automation
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Prod
Agents built for production, not demos
30 days
Typical time to first live automation
−70%
Reduction in manual handling time
Zero
Hallucination-driven production failures

Engagement process

How we deliver

Phase 1 2 weeks

Evaluation

AI Readiness Check

Audit existing systems & data.
Identify automation opportunities.
Assess team AI maturity.

Tailored Learning

Compile specific AI training.
Use-case prioritization.
Build a competence baseline.

Roadmap Creation

Define target architecture.
Scope PoC deliverables.
Set success metrics.

Strategic Review

Stakeholder alignment session.
Investment & timeline proposal.
Go / no-go decision point.

Phase 2 2-4 weeks

AI & ML Integration

  • Descriptive analytics and BI development
  • Predictive ML models training on your data
  • GenAI and multi-modal models integration
  • Custom dashboards, monitoring, and RAG integration
  • Observability & monitoring
  • Security & compliance review at each milestone
Phase 3 2+ weeks

Agentic Framework Development

  • ML systems and automations agentisation
  • Multi-agent system engineering and orchestration
  • Prompt management system development
  • Observability system integration and SLA monitoring
  • Structured handover training for your team

Integrations

Systems we connect

SAP

ERP

Salesforce

CRM

ServiceNow

ITSM

SCADA

Industrial

HubSpot

CRM

Jira

Projects

Slack / Teams

Messaging

Custom APIs

Any system

Technologies we work with

AI & Automation stack

OpenAI GPT-4oClaudeLangChain LangGraphCrewAILlamaIndex PineconeWeaviatepgvector Hugging FaceMLflowWeights & Biases AWS BedrockAzure OpenAIVertex AI PythonFastAPI

Ready to put AI to work in your business — not just in demos?
Let's talk.

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