AI Agents & Workflow Automations
We build specialized AI agents that research, classify, and act. Orchestrated through frameworks like LangChain and Gemini ADK, grounded in your data, integrated with your systems.
Overview
Operational workflows often combine research, classification, validation, and writing. We replace them with orchestrated agent pipelines that execute reliably, ground in your data, and integrate with your existing tools.
Why choose this service
Each agent has a scoped job, a prompt contract, and measurable output. No black-box 'just ask GPT' setups.
Retry logic, validation, fallback models, and structured outputs so pipelines don't break silently.
RAG, vector search, and live API calls, so agents work with the real facts, not hallucinations.
Outputs to Salesforce, HubSpot, Slack, Gmail, or wherever your team already works.
How we work
We map the manual process step by step: inputs, decisions, tools used, and output format.
Break the workflow into agent roles with clear prompts, tools, and hand-offs.
Run on real inputs. Measure accuracy. Fix the failure modes before going live.
Deploy with logging, cost tracking, and human-in-the-loop review where it matters.
Applications
Technologies
Case Study
The Problem
An e-commerce brand was handling customer support, post-purchase review follow-ups, and social scheduling manually, with high volume and inconsistent results.
The Result
End-to-end AI automation suite that runs support, review funnels, and social scheduling without a human in the loop.
FAQ
Structured outputs with JSON schema validation, fallback models, and retry loops. For high-stakes outputs, human-in-the-loop review is built in.
Yes. We've built integrations with Salesforce, HubSpot, Google Workspace, Slack, and custom APIs.
Usually prompt engineering and RAG are enough. We fine-tune when the task is narrow, repetitive, and high-volume.
Explore more
Tell us about your product. We'll tell you how we'd build it, and how fast.