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.
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.
CHALLENGES WE ADDRESS
Challenges our clients face
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
Process automation with AI
We identify and automate high-volume operational processes by combining rules, language models, and integration with your existing systems.
- Mapping of automation candidate processes
- Automated flow design
- Integration with internal systems
- Human validation at critical checkpoints
- Results monitoring
Enterprise agents and copilots
We build agents with access to your business context to assist internal teams or interact with customers reliably.
- Agent design with retrieval-augmented generation (RAG)
- Internal copilots for operational teams
- Customer service agents
- Accuracy testing and edge-case handling
- Integration with existing channels
AI governance and adoption
We define the policies, roles, and metrics needed to make AI use safe, auditable, and sustainable over time.
- Responsible AI use policies
- Role and ownership definition
- Risk evaluation framework
- Adoption and accuracy metrics
- Internal team training
Integration and data for agents
We connect agents to your organization's real information sources so their answers are reliable.
- Connection to internal documentation
- Integration with CRMs, ERPs, and proprietary systems
- Knowledge update strategies
- Access control for sensitive information
METHODOLOGY
From strategy to execution
01
Discovery
We understand the context, business objectives, current systems, constraints, risks, and improvement opportunities.
02
Assessment and architecture
We design the target solution, define roadmap, architecture, team, technologies, and implementation model.
03
Iterative implementation
We build in phases, prioritizing value, controlling risks, and continuously validating results with the client.
04
Deployment and stabilization
We support the move to production, configure monitoring, resolve initial incidents, and ensure operational continuity.
05
Continuous evolution
We optimize, automate, incorporate new capabilities, and support platform growth.
- 01
Discovery
We understand the context, business objectives, current systems, constraints, risks, and improvement opportunities.
- 02
Assessment and architecture
We design the target solution, define roadmap, architecture, team, technologies, and implementation model.
- 03
Iterative implementation
We build in phases, prioritizing value, controlling risks, and continuously validating results with the client.
- 04
Deployment and stabilization
We support the move to production, configure monitoring, resolve initial incidents, and ensure operational continuity.
- 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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AI should solve real problems, not become an isolated experiment.
We implement purposeful AI integrated into your business processes and systems.
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