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AI Agents & Workflow Automations

Multi-agent systems, shipped end-to-end

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.

01Overview

What we deliver

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.

02Why choose this service

Key benefits

01

Purpose-built agents

Each agent has a scoped job, a prompt contract, and measurable output. No black-box 'just ask GPT' setups.

02

Reliable orchestration

Retry logic, validation, fallback models, and structured outputs so pipelines don't break silently.

03

Grounded in your data

RAG, vector search, and live API calls, so agents work with the real facts, not hallucinations.

04

Fits your workflow

Outputs to Salesforce, HubSpot, Slack, Gmail, or wherever your team already works.

03How we work

Our process

01

Workflow Audit

We map the manual process step by step: inputs, decisions, tools used, and output format.

02

Agent Design

Break the workflow into agent roles with clear prompts, tools, and hand-offs.

03

Prototype & Evaluate

Run on real inputs. Measure accuracy. Fix the failure modes before going live.

04

Ship & Monitor

Deploy with logging, cost tracking, and human-in-the-loop review where it matters.

04Applications

Common use cases

01Lead enrichment and sales intelligence pipelines
02Deep research and report synthesis from scientific or legal literature
03Invoice classification, extraction, and accounting integration
04Multi-step document processing with validation loops
05E-commerce customer support, review funnels, and social scheduling

05Technologies

Tools we use

LangChainLangGraphGemini ADKOpenAI Agents SDKPython / FastAPIQdrant / PineconeTrigger.devSalesforce / HubSpot APIs

06Case study

Backyard Design

Backyard Design

40%

less support time, 2x Google Reviews

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.

Read the full case study

07FAQ

Common questions

How do you handle agent failures and hallucinations?

Structured outputs with JSON schema validation, fallback models, and retry loops. For high-stakes outputs, human-in-the-loop review is built in.

Can you integrate with our CRM and internal tools?

Yes. We've built integrations with Salesforce, HubSpot, Google Workspace, Slack, and custom APIs.

Do you fine-tune agents on our data?

Usually prompt engineering and RAG are enough. We fine-tune when the task is narrow, repetitive, and high-volume.

Trusted in production by

Maxiom
MindTime
Franck Muller
Backyard Design
TrueClaim
Bank Marketing Center
True Terpenes
Restaurant SupplyRestaurant Supply
ScrollTollScrollToll

How can we help you?

We'll tell you how we'd build it, and how fast.

Book a call