Deep Agent Development For Multi-Step Work

Deploy agents with built-in planning, persistent memory, sub-agent spawning, and detailed system prompts.

You're Here Because...

Deep Agents are designed for teams dealing with problems like these:

01

AI demos that look great in meetings but can’t manage real tasks

02

Fragile automations that stop working as soon as something changes

03

Wasting hours on manual research, reporting, triage, and handoffs

04

Agent prototypes that only work in perfect conditions and fail in real situations

What Makes a Deep Agent Different

Most AI agents are simple. They make one attempt, use a few tools, and finish. They struggle with tasks that need many steps instead of just a couple.

Planning & Decomposition

They plan and break down goals into steps you can track.

Delegation

They delegate by sending work to specialized sub-agents for research, drafting, checking, or carrying out tasks.

Persistent Memory

They remember what matters by saving notes, files, and progress, so nothing is lost during a task.

Self-Checking

They check their own progress, spot any gaps, and adjust their approach as needed.

High-Impact Use Cases

These are real-world workflows. With planning, delegation, and reliable memory, Deep Agents turn hours of manual work into automated systems you can rely on. Here's where Deep Agents can make the most impact:

Deep Research
Keeps track of sources, pulls together findings, and creates briefs with citations that are ready for decision-making.
Customer Support Triage
Sorts tickets, writes replies, gathers account details, and passes on unusual cases.
Sales/RevOps
Summarizes calls, updates the CRM, writes follow-up messages, and points out deals that might be at risk.
Compliance/Policy
Checks documents to follow internal rules, points out any gaps, and puts together evidence packs.
Engineering Enablement
Turns requirements into tasks, writes up specifications, and makes test checklists.
Data Analyst
Collects data, analyzes it, and creates reports with charts that tell the story.
Content Production
Looks into topics, writes organized content, and handles the revision process.
Retail/Operations
Provides real-time updates from POS, ERP, and inventory systems.

AI Case Studies

WOO: AI-Powered Healthcare Assistant

10Clouds partnered with Well Over One to build an AI agent for healthcare that provides personalized mental and physical wellness support. The agent analyzes user patterns, adapts recommendations in real-time, and navigates complex health requirements while maintaining regulatory compliance. This industry-specific solution demonstrates deep domain expertise in healthcare data and wellness protocols.

Healthcare
Wellbeing
Wellbeing
Well Over One case study image

AIConsole: Our AI Agent Platform

AIConsole is 10Clouds' proprietary AI agent builder platform designed for workflow automation across industries. The platform enables businesses to create context-aware agents that integrate with existing systems, handle complex multi-step processes, and learn from organizational data. Built with privacy and customization at its core, AIConsole powers vertical agents for companies requiring specialized AI solutions tailored to their specific business needs.Z

Open Source
AI Integration
Generative AI
Generative AI
AIConsole case study image
Małgorzata Pietraszewska
CEO

Ready to automate complex workflows?

Don’t let manual research, triage, and reporting slow you down. Deep Agents take care of complex, multi-step tasks your team can’t get to, keeping everything organized and moving forward.

BOOK A DISCOVERY CALL

How Deep Agents Work

How Deep Agents Work

The Project Manager

Orchestrator

Interprets the goal, writes the plan, assigns tasks, and tracks what's done.

The Team

Specialist Agents

Researcher, Data Extractor, Writer, QA Checker, and Executor, each handling one job well.

The Hands

Tool & integration Layer

APIs, browser automation, databases, and internal services.

The Workspace

Memory & Artifacts

Files, notes, and structured outputs are stored outside the conversation, ensuring work persists between sessions.

The Editor + Compliance

Evaluator & Guardrails

Checks completeness, enforces constraints, and triggers human approval when needed.

What You Get

A production-ready Deep Agent system, including:

Agent Blueprint

Roles, tool boundaries, failure modes, escalation rules

Tool Layer

Connectors to your systems (CRM, docs, ticketing, data warehouse, APIs)

Memory + Context Strategy

What gets stored, where, and how it's retrieved

Quality & Safety Guardrails

Action approvals, policy checks, escalation paths

Evaluation Harness

Test scenarios, regression checks, success benchmarks

Observability

Logs, traces, cost tracking, and "why did it do that?" visibility

Why 10Clouds for Deep Agent Development

You're not hiring a chatbot builder. You're hiring a team that ships production systems.

AI Accelerators Built In-House

We’ve created tools like AIConsole to speed up implementation and lower early-stage risks.

White-Label Components

Our pre-built AI modules help you move from prototype to production within this quarter, not next year.

Proven Software Partner Since 2009

Companies like Pinterest, Asmodee, and many others across different industries trust us.

"The 10Clouds team quickly understood our user and project needs and goals. They made sure that our vision of implementing AI is in line with the business goals of the entire platform. Thanks to their unique understanding of machine learning capabilities, we will be able to fully respond to the needs of our users. It was important to me that the 10Clouds team could fully cooperate with our teams in terms of communication, budget and delivery time."
Ada Jakimowicz
CEO & Founder at WOO
Małgorzata Pietraszewska
CEO

Discover how Deep Agents can improve your workflows

We’ll create a custom plan to show how Deep Agents can solve your toughest workflow challenges, saving you time and delivering clear results.

SCHEDULE A CONSULTATION

Packages & Engagement Models

Deep Agent Discovery Sprint

Workflow selection, architecture blueprint, ROI model, MVP scope. For teams validating fit before committing to build.

MVP Build

One workflow, production foundation, evaluation harness, monitoring. For teams ready to deploy their first agent.

Scale & Optimize

Add workflows, reduce costs, improve accuracy, expand tool coverage. For teams scaling proven agents across operations.

Recognized and Valued by Leading Industries Worldwide

Top AI Company 2024

according to

Top Chatbot Company 2024

according to

Most Reviewed AI Company

according to

How We Build It

Discovery

Identify 3–5 workflows where an agent delivers measurable time savings, error reduction, or throughput gains.

Blueprint & Guardrails

Define roles, tools, memory model, approval gates, failure handling.

Build MVP

Working agent on limited scope with clear success metrics and evaluation tasks.

Harden for Production

Testing, monitoring, cost controls, security review, rollout plan. This is what separates demos from deployed systems.

Scale

Reuse the architecture; add specialist agents and tools as needed.

FAQ

How is a deep agent different from a chatbot?

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A Deep Agent completes multi-step tasks using memory, tools, and checkpoints, not just conversation.

Will it hallucinate?

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We reduce risk through constraints, retrieval design, tool structuring, evaluation tasks, and human approvals for high-stakes actions. We also measure accuracy.

What systems can it connect to?

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Anything with an API, as well as document stores, databases, internal tools, and approved automation paths.

How long until we see ROI?

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Most teams see measurable impact within 4–8 weeks, including time saved per workflow, error reduction, throughput gains, and faster SLAs.

What if it makes a mistake?

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Approval gates for critical actions, full audit trails, and rollback procedures. You define the boundaries.

Other AI Software Development Services

Małgorzata Pietraszewska
CEO

Ready to build your first Deep Agent together?

Start with a discovery sprint. We’ll help you find your best workflows, design the right setup, and outline an MVP you can launch this quarter.

GET STARTED
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