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Agentic AI
smarter workflows for faster impact

Streamline operations with governed team of digital workers

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Multi-agent AI architecture drawn as a circuit board: the boxes are chips with pins, the links are traces with running pulses. A user or business sends requests, directives and GO on key decisions to a workflow orchestrator, which assigns tasks, collects results and loads shared context at startup. A scheduler (cron) triggers agents autonomously. Agent 1 runs a loop: collect, reason and plan, act; its instructions, skills, settings (hooks, permissions), short-term memory, LLM and tools are shown. Agents 2 and 3 each have their own instructions, skills and memory. Agents reach the tools through MCP servers and APIs in both directions: SaaS business apps (CRM, ERP, ticketing, HR), databases and documents (SQL, warehouse, files), RAG retrieval (vector store, embeddings), email and chat (Outlook, Slack, Teams), web (search, browsing) and devices (IoT). A shared brain, linked both ways to the orchestrator and the agents, holds the shared memory Cortex (episodic, what happened), a knowledge graph (structural, where information lives) and shared lessons (shared activity log).
A governed multi-agent system, from orchestration to shared memory.

What is Agentic AI?

Agentic AI refers to a class of operational systems where automation, rules, integrations, learning models, and human validation are orchestrated together to execute tasks reliably.

Build a governed team of digital workers


Deploy a scalable digital workforce that operates with precision and control.

Since AI autonomy is a spectrum, we help you calibrate the exact level of independence for each workflow: ensuring reliability, safety, and strategic alignment.

Bar chart of five levels of AI autonomy drawn as chips on a circuit board, with pulses running along the axes, bars rising from left to right along the Capability & Competitive Advantage axis, height on the Value axis: Level 1 Rule-based Automation, Level 2 Intelligent Automation, Level 3 Agentic Workflows, Level 4 Semi Autonomous Agentic systems, Level 5 Full Autonomous Agentic systems, each level higher than the one before. An arrow marks Level 2: Most companies are here today. A dashed frame groups Levels 3 to 5: Governed systems enabling scalable, AI-Driven execution. Bar chart of five levels of AI autonomy drawn as chips on a circuit board, with pulses running along the axes, horizontal bars, Level 1 at the top to Level 5 at the bottom, growing to the right along the Value axis; the Capability & Competitive Advantage axis runs down the left side: Level 1 Rule-based Automation, Level 2 Intelligent Automation, Level 3 Agentic Workflows, Level 4 Semi Autonomous Agentic systems, Level 5 Full Autonomous Agentic systems, each level higher than the one before. An arrow marks Level 2: Most companies are here today. A dashed frame groups Levels 3 to 5: Governed systems enabling scalable, AI-Driven execution.

What can Agentic AI do for your company?

Instant resolution for repetitive requests

Your teams lose hours to requests that always follow the same pattern: status checks, document retrieval, account updates, standard client questions. A digital worker connects to the systems that hold the answer, resolves the request in seconds, logs what it did, and escalates the exceptions to a human with full context.

Smart workflow coordination across tools

Agentic AI coordinates actions across business systems (CRM, ERP, HR tools, ticketing) to complete multi-step workflows end-to-end. It collects and structures data, analyzes context and rules, plans task sequences, and executes actions across systems, with optional human validation at key decision points.

Proactive execution, without constant oversight

Some work should start before anyone asks: a stock threshold crossed, a payment overdue, a system slowing down, a client gone quiet. Agents watch these signals around the clock, act on the rules you approved, notify the right person when they do, and record every action in a shared memory your team can audit.

Agentic AI system drawn as a circuit board: the boxes are chips with pins, the links are traces with running pulses. Your team sends requests to an orchestrator and receives the results; inside your own server, the orchestrator plans, assigns tasks to three agents and collects their results, and a scheduler runs agents around the clock. Each agent has its own instructions, skills and memory. The agents share a long-term memory where every action is recorded; lessons drawn from it become rules, learned once and applied every run, that feed the safeguards. Every action of the agents passes the safeguards: guards and hooks before every action, an independent reviewer that checks important work, and your GO on key decisions, given by your team. Then secure connectors (MCP, APIs) reach your company tools in both directions: business apps (CRM, ERP, HR), data and documents (databases, files), email and chat (mail, messaging). Agentic AI system drawn as a circuit board: the boxes are chips with pins, the links are traces with running pulses. Your team sends requests to an orchestrator and receives the results; inside your own server, the orchestrator plans, assigns tasks to three agents and collects their results, and a scheduler runs agents around the clock. Each agent has its own instructions, skills and memory. The agents share a long-term memory where every action is recorded; lessons drawn from it become rules, learned once and applied every run, that feed the safeguards. Every action of the agents passes the safeguards: guards and hooks before every action, an independent reviewer that checks important work, and your GO on key decisions, given by your team. Then secure connectors (MCP, APIs) reach your company tools in both directions: business apps (CRM, ERP, HR), data and documents (databases, files), email and chat (mail, messaging). Mobile layout: one column from your team at the top to your company tools at the bottom.

Ready to explore how agentic AI can transform your business?

Book a 30-minute discovery call to discuss your challenges and explore how intelligent workflows can streamline your operations.

✦ Book a discovery call (30 min)

Trusted by

WSBI-ESBG
SolarPower Europe
Cefic
Silversquare
Yoga Room
EURid
Eurosif
Elitis Insurance

Our methodology

A structured consulting approach grounded in CRISP-DM and delivered through Scrum

  1. Step 1

    1. Frame the challenge

    We start by structuring the project at business level: stakeholder alignment, governance setup, and qualitative interviews across departments. Through steering committees and structured discussions, we clarify objectives, success criteria, constraints, and interdependencies. In parallel, we assess available data sources to ground decisions in operational reality.

    CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, around a central CRISP-DM hub with its icon, clockwise from Business Understanding at the top: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Business Understanding and Data Understanding are highlighted; the other steps are dimmed. CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, in one column, top to bottom, with a return line up the left side from Deployment to Business Understanding, under a CRISP-DM heading with its icon: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Business Understanding and Data Understanding are highlighted; the other steps are dimmed.
  2. Step 2

    2. Build and iterate

    We translate business objectives into data pipelines and models. This phase covers features engineering, and iterative modeling, with frequent validation points. Working in short cycles, we test assumptions, refine configurations, and ensure models remain explainable, robust, and aligned with business intent.

    CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, around a central CRISP-DM hub with its icon, clockwise from Business Understanding at the top: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Data Preparation and Modeling are highlighted; the other steps are dimmed. CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, in one column, top to bottom, with a return line up the left side from Deployment to Business Understanding, under a CRISP-DM heading with its icon: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Data Preparation and Modeling are highlighted; the other steps are dimmed.
  3. Step 3

    3. Validate and operationalize

    We evaluate results against the initial business objectives. Once validated, we deploy solutions into existing systems, support user adoption, and document outcomes. This phase closes the loop with stakeholders and sets the foundation for continuous improvement.

    CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, around a central CRISP-DM hub with its icon, clockwise from Business Understanding at the top: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Evaluation and Deployment are highlighted; the other steps are dimmed. CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, in one column, top to bottom, with a return line up the left side from Deployment to Business Understanding, under a CRISP-DM heading with its icon: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Evaluation and Deployment are highlighted; the other steps are dimmed.

Build your first Agentic AI workflow with eaQbe

We turn business processes into production-ready agentic systems: orchestration, integrations, guardrails, and measurable outcomes.

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Our Achievements

A person and an agent feed one booking list, one room slot is confirmed in a grid, and a central agent hub connects to a shield check and a validated person

An agentic room-booking platform and the agents that build it

Meeting-room booking for a coworking network, designed so that an AI agent can book like a member, and built by agents under human sign-off.
An incoming message goes to an agent that draws on a database and a document, then to an editable reply draft that a person validates

A member-care agent, grounded in data

Member requests answered fast and accurately, with drafts in the brand voice and sending left to humans.
A central knowledge graph linked to email, a spreadsheet, the web, a document, code and a highlighted database

An agentic second brain wired to the business

Plain-language questions answered on real business data, with member reply drafts under human control.
A document flows into automated processing gears, then into a bar chart report with a rising trend

End-to-end finance automation: AGICAP, Exact Online and Power BI

A full finance back-office automation: supplier invoices captured, auto-encoded, synced to the accounting system, and reported live, with the accountant only validating.
Scattered files pass through a search funnel and come out as one validated folder tree

Agentic file-server migration to SharePoint

A multi-terabyte file server migrated, sorted and tagged, Copilot-ready.
A loop around a page checked under a magnifying glass, with search, document, chart and sparkle icons on the loop

An agentic SEO and GEO visibility loop

A weekly agentic loop that monitors SEO and generative-engine visibility, and proposes prioritised actions.
An agent at the centre of a loop arrow, exchanging with a stack of records and linked to a knowledge graph

An agentic development workflow, with memory

A dedicated agentic foundation with persistent memory, knowledge graph and human guardrails.