AI Agents at Shivacha
LLM-driven systems that plan, call tools and complete multi-step tasks.
Overview
AI agents combine language models with tools, memory and orchestration to complete tasks rather than just answer questions. We build agents with typed tools, least-privilege credentials, approval gates, step budgets and traces, introducing autonomy gradually as reliability is measured.
Why we use it
- Complete multi-step tasks
- Operate across systems
- Handle unstructured inputs
- Escalate exceptions
How we use it
AI Agents in our engineering work
Operations agents
Reconciliation and triage.
Research agents
Briefings and analysis.
Service agents
Resolving customer and internal requests.
Services
Services that use AI Agents
AI Agent Development
AI agents that plan, use tools and complete multi-step business tasks — with scoped permissions, approvals and full audit trails.
Learn moreAgentic AI Development
Multi-agent and agentic systems that coordinate specialised agents across long-running workflows with supervision and control.
Learn moreAI Workflow Automation
Design and build AI-powered workflows that connect your systems, route decisions and escalate exceptions automatically.
Learn moreAI Development
End-to-end AI development: from use-case selection and data preparation to models, applications and production operations.
Learn moreAI Automation
Automate document-, email- and decision-heavy work by combining AI with rules, integrations and existing automation tools.
Learn moreAI Document Processing
Intelligent document processing that reads invoices, contracts, IDs and forms, extracts validated data and routes exceptions.
Learn morePairs well with
What we combine with AI Agents
Models, retrieval, agents and ML operations.
Insights
Related insights
Why most AI pilots never reach production — and the engineering that fixes it
The model is rarely the problem. Retrieval quality, evaluation, integration and governance decide whether an AI pilot becomes a production system.
Learn moreAI development cost: what you pay for when you build an AI product or agent
Model fees are rarely the main cost. Data preparation, evaluation, integrations and guardrails decide both the budget and whether the system works.
Learn more
Build with AI Agents.
Tell us about your project, or the engineers you need, and we will propose an approach.