Agentic AI Systems
Intelligent Agents
Built on Your Data
Run on Your Cloud
DevIQ builds enterprise-grade, domain-specific AI agents, knowledge bases, and MCP-powered toolchains integrated with your products, platforms, and business workflows.
Focused on product-lead companies, we turn AI from a board-level mandate into working, production-ready systems, built atop your data foundations connected to your real applications & delivering real value.
AI Integration in Your Products and Workflows
AI becomes a practical advantage when it’s embedded directly into your products and workflows vs. an ad-hoc experiment. These are the outcomes teams consistently achieve when we build with their data, systems, and domain knowledge.
Your product gains AI-native capabilities – search, guidance, recommendations, and automation – rooted in your domain data and tuned to your users’ real workflows.
AI agents work alongside your people – support, operations, sales, engineering – helping them find answers faster, diagnose issues, and execute routine tasks with fewer handoffs.
Documents, tickets, logs, code, metrics, and tribal know-how are organized into knowledge bases and vector stores that AI can actually use – safely and with context.
You move from scattered POCs to production AI with a clear roadmap, reference architecture, and delivery model that scales safely inside your environment.
AI handles repeatable work and surface issues early, lowering operational overhead while improving consistency across customer-facing and internal processes.
Internal users and external customers get more accurate answers, faster support, and intelligent in-product guidance that feels native – not bolted-on.
From Data Foundations to Agents, Tools, and Experiences
We see AI as a layered system. When each layer is designed intentionally, you get reliable, domain-specific AI that fits your business instead of generic answers.
Layer 1: Data Foundation
Create a foundation that ensures accuracy, lineage, and trust.
- Modern data platforms, pipelines, and governance
- Centralized access controls and permission models
- Cloud-native storage and compute optimized for AI workloads
Layer 2: Domain Knowledge & Memory
Transform your data and content into structured knowledge that AI can use.
- Knowledge bases from documents, tickets, logs, code, and metrics
- Embedding pipelines and vector databases for fast, relevant retrieval
- Memory constructs that keep context across sessions, users, and workflows
Layer 3: Tools & MCP Integration
Make your systems actionable by AI through tools.
- MCP servers that expose your APIs, services, and operations
- Defined tools for diagnostics, configuration, and business workflows
- Secure access patterns and guardrails around what AI can and can’t do
Layer 4: Agentic Workflows
Design agents that orchestrate tools and knowledge to get real work done.
- Specialized agents for support, analysis, automation, content, and operations
- Multi-agent patterns where different agents cooperate on complex tasks
- Clear boundaries for human-in-the-loop oversight and approvals
Layer 5: Product & Business Experiences
Integrate AI where your users already work.
- AI-driven features inside your SaaS product or platform
- Internal consoles and assistants for support, ops, and leadership teams
- New AI-native workflows that connect across teams and systems
Practical On-Ramps to Delivering Real Intelligence
You don’t need a perfect strategy to begin. These structured, time-boxed engagements help your team move from ideas and pressure to clarity, alignment, and working AI. We meet you where you are today and guide you forward in delivering real bottom-line impact every step of the way.
Length: 1–2 weeks
For teams under pressure to act on AI but wanting to move deliberately and align stakeholders before committing to pilots.
Length: 3–6 weeks
For teams with baseline data capabilities that want to establish the core building blocks required for reliable, domain-specific AI.
Length: 6–10+ weeks
For teams ready to validate a targeted AI capability inside a real workflow or product experience.
Agentic AI Production Scale-Up
Length: Multi-Phased
For organizations ready to make AI a durable, reliable part of their product and operations – with hardened agents and tools, optimized cost and performance, and clear rollout plans across teams and customer segments.
Building on AI in Practice
DevIQ builds production-ready AI and agentic systems by grounding them in real data, real workflows, and real operational constraints.
Our work goes beyond experimentation, focusing on agentic AI that can be trusted, governed, and operated inside complex environments.
Partnering with enterprise, SaaS and regulated organizations like yours, we integrate scaleable and responsible AI directly into your platforms on your clouds. Read More Case Studies ->
Recent AI & Agentic Articles
Building with AI Responsibly
DevIQ designs AI systems that meet the security, compliance, and operational standards your enterprise already lives by.
- Alignment with your security and access policies
Identity, permissions, and data access patterns that match or improve your existing controls and governance model. - Protection of PHI, PII, and sensitive data
Architecture and operational patterns designed for regulated industries, with strict boundaries around what AI can see or use.
- Guardrails and human-in-the-loop oversight
Clear policies defining where AI can propose actions and where people must approve, intervene, or make final decisions. - Full observability into agent actions
Logging, tracing, and monitoring that show what agents did, why they did it, and which tools or data sources they relied on.
Let's Talk Agentic AI Solutions with Real ROI
Start with a 30-minute AI Discovery Call to talk directly with senior solution architects who've designed and deployed enterprise AI initiatives.
