APPLIED AI, AGENTS & AUTOMATION

From questions to decisions: applied AI for your operations.

We design and implement agents, copilots, and AI-based automation so your team stops losing time on repetitive tasks and invests it in decisions that move the business.

AI that gets adopted, not just demoed

Many organizations have already tried generative AI in an isolated pilot that never reached production. The challenge isn't the technology: it's identifying the right process, designing the agent with the right business context, and governing its use so it actually gets adopted.

At Gizlo we design AI automation and agents with a simple criterion: they must give back measurable time to the team that uses them, not add another layer of complexity. If you're not yet sure where to start, our AI Opportunity & Readiness Scan identifies the process and use case with the highest return.

CHALLENGES WE ADDRESS

Challenges our clients face

AI pilots that never reach production

Many generative AI initiatives stay an internal demo because no one defined how to integrate them into the real workflow, or who is responsible for maintaining them.

Manual processes that consume hours of the team's time

Repetitive tasks like validation, classification, customer responses, or information consolidation still depend on people, not systems.

Lack of governance over AI use

Teams use AI tools without clear policies on what data they can process, what decisions they can automate, or how their behavior gets audited.

Agents that don't know the business

Generic copilots without access to real context (internal documentation, systems, historical data) generate unreliable answers and low adoption.

WHAT'S INCLUDED

What the service includes

Agent architecture

We design enterprise agents with access to your business's real context, capable of executing tasks and not just answering questions — the foundation of our Agent Factory / AI Pod.

  • Agent design with retrieval-augmented generation (RAG)
  • Tool and permission definition per agent
  • Orchestration of multiple specialized agents
  • Accuracy testing and edge-case handling

Process automation (Agentic Process Automation)

We identify and automate high-volume operational processes by combining rules, language models, and agents that execute, not just assist.

  • Mapping of automation candidate processes
  • End-to-end automated flow design
  • Human validation at critical checkpoints
  • Results and exception monitoring

Enterprise integrations

We connect agents and automations to the real systems of your operation so they act on live data, not isolated captures — the typical scope of an AI Quick Win.

  • Integration with CRMs, ERPs, and proprietary systems
  • Connection to internal documentation and knowledge bases
  • APIs and events for real-time action
  • Access control for sensitive information

Governance, security, and human oversight

We define the policies, roles, and human control points needed to make agent use safe, auditable, and reliable, with our AI Governance Starter as the entry point.

  • Responsible AI use policies
  • Risk evaluation framework per process
  • Human review checkpoints (human-in-the-loop) on critical decisions
  • Internal team training

AgentOps: observability and continuous improvement

We monitor agent behavior in production to detect errors, measure accuracy, and continuously improve.

  • Monitoring of agent decisions and actions
  • Adoption and accuracy metrics
  • Drift detection and retraining
  • Full traceability of every action taken
METHODOLOGY

From strategy to execution

  1. 01

    Discovery

    We understand the context, business objectives, current systems, constraints, risks, and improvement opportunities.

  2. 02

    Assessment and architecture

    We design the target solution, define roadmap, architecture, team, technologies, and implementation model.

  3. 03

    Iterative implementation

    We build in phases, prioritizing value, controlling risks, and continuously validating results with the client.

  4. 04

    Deployment and stabilization

    We support the move to production, configure monitoring, resolve initial incidents, and ensure operational continuity.

  5. 05

    Continuous evolution

    We optimize, automate, incorporate new capabilities, and support platform growth.

EXPECTED OUTCOMES

What we can achieve together

  • Reduced time spent on repetitive tasks.
  • Higher adoption rate of the AI tools implemented.
  • More accurate and reliable agent responses.
  • Costs avoided through automation of manual processes.

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We implement purposeful AI integrated into your business processes and systems.

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