Zaply
Zaply
Services · AI & Data

AI agents that reason, adapt, and act — on their own.

When something unexpected happens — and it always does — our agents evaluate the situation, decide what to do, take action, and log every step. No human required for the 80% of processes that follow a pattern, so your team can focus on what matters.

01Agent types

What agents can do

They fit into how your team already works: they handle repetitive work and escalate to a person when judgement is needed.

  • Lead qualification

    Qualifies incoming leads, enriches contact data, books calls, sends follow-ups and updates the CRM. Escalates to a person when a lead needs a commercial decision.

  • Customer support

    Looks up orders, processes refunds, updates accounts and resolves common tickets. If it isn't confident enough or the case exceeds its permissions, it transfers it to the right person with full context.

  • Operations and anomaly detection

    Monitors your systems, detects anomalies and runs remediation playbooks. Reviews logs, correlates events and notifies the right team with the diagnosis.

  • Research and reporting

    Gathers information from web sources, internal databases and APIs and summarises it in structured reports delivered on a schedule.

  • Document processing with human review

    Reads documents, extracts data, validates it against business rules and triggers the next workflows. Documents that don't fit the pattern go to human review with an explanation.

  • Workflow orchestration

    Coordinates cross-team processes: collects approvals, assigns tasks, sends reminders and updates project systems. Every decision is logged with its reason.

02How it works

From scoping to production agent.

  1. 01

    Define scope & tools

    We map the process, identify the tools the agent needs and define what it can decide alone and when it must escalate.

  2. 02

    Build in sandbox

    The agent runs against test data in an isolated environment. We test the normal path, edge cases and failure modes before going to production.

  3. 03

    Add guardrails

    We add escalation to people, output validation, rate limits and audit logging. The agent gets only the permissions it needs.

  4. 04

    Deploy with observability

    Full production deployment with traces, metrics, cost dashboards, and quality evals. You can see every decision the agent makes in real time.

03Areas of application

Where does this apply in your organization?

Examples of applications by business area.

Customer Service

  • Real-time sentiment analysis
  • Autonomous end-to-end ticket resolution

Sales & Marketing

  • Lead qualification & enrichment agent
  • Competitive intelligence agent

Finance & Accounting

  • Fraud & anomaly detection agent
  • Automated reconciliation workflows

Human Resources

  • Automatic CV screening
  • Climate surveys & engagement analysis

Operations & Logistics

  • Predictive equipment maintenance
  • Shipment exception handling agent

Document Management

  • Automatic classification & filing
  • Contract review & risk flagging agent

Have a process that should run itself?

Describe the process and we'll tell you whether it's a good fit for an agent, what the architecture would look like and what results to expect.

Let's evaluate it