AI SOLUTIONS
Conversations that move business forward.
Aveniq designs, integrates and deploys tailored AI solutions that connect customer conversations, employee knowledge and enterprise workflows. Built around your systems—not a one-size-fits-all platform.
From understanding intent to executing work.
01 Conversational AI / 02 Voice AI / 03 Agent Assist / 04 Workflow Automation / 05 Enterprise Integrations
01 / CONVERSATIONAL AI
Understand the request. Keep the context.
Design assistants that use approved business knowledge to support customers, qualify leads and guide service journeys. Define how conversations gather information, resolve routine requests and hand off exceptions to a person.
Knowledge & context
Connect relevant documents and business data with retrieval-based responses. Scope knowledge access, answer boundaries and fallback behavior to the use case.
Actions & handoff
Capture structured details, trigger approved actions and pass conversation context to service teams.
Example application: A customer asks about an order. The assistant retrieves permitted order information, explains the status and creates a service request when further help is needed.
02 / VOICE AI
Natural conversations. Purposeful outcomes.
Build voice experiences around the tasks customers need to complete—not rigid menu trees. Combine speech recognition, language understanding and spoken responses with business rules and clear escalation paths.
Conversation design
Plan turn-taking, clarification, interruption handling and transfer behavior. Evaluate performance against real accents, background noise and domain terminology.
Connected voice workflows
Collect qualification details, coordinate appointments or route inquiries through connected systems, with appropriate consent and identity checks.
Example application: A caller requests an appointment. A voice assistant gathers preferences, checks a connected scheduling system and confirms the agreed next step.
03 / AGENT ASSIST
Support the person behind the conversation.
Design AI assistance for service and sales teams that brings relevant information into their workflow. Keep staff in control of decisions while reducing the effort of searching, drafting and documenting interactions.
Knowledge assistance
Surface relevant policies and service information from approved sources. Provide suggested responses that staff can review and adapt.
Conversation support
Generate draft summaries, organize customer context and propose next actions. Set review requirements before updating records or sending messages.
Example application: A service agent receives a complex inquiry. AI retrieves relevant guidance and prepares a response draft; the agent reviews it and decides what to send.
04 / WORKFLOW AUTOMATION
Turn intent into coordinated action.
Connect AI interpretation with deterministic business logic. Design workflows that validate inputs, call approved tools and move tasks between applications—with human approval where the risk or business policy requires it.
Orchestration & controls
Map steps, permissions and approval checkpoints. Define what the AI may suggest, what software may execute and when a person must intervene.
Operational resilience
Plan retries, exception queues, audit events and recovery paths so failed actions remain visible and manageable.
Example application: A qualified sales inquiry becomes a CRM record, a routed task and a follow-up notification, with approval required before sensitive commitments.
05 / ENTERPRISE INTEGRATIONS
AI that works inside your environment.
Connect AI experiences to CRM, ERP, service desks, knowledge repositories and custom applications through APIs, webhooks and purpose-built integration services. Choose the integration approach around your existing architecture.
Data & access boundaries
Define permitted records, read/write scopes, identity handling and data retention with your teams. Keep each workflow’s access aligned to its purpose.
Application engineering
Build connectors and supporting software where standard interfaces are insufficient. Account for rate limits, version changes and downstream failures.
Example application: A support assistant reads approved customer context, opens a ticket through the service-desk API and sends status events back to the operational workflow.
A delivery discipline—not just a demo.
Each engagement can be scoped around a defined use case, your technical environment and the controls needed to operate it responsibly. Model choice, deployment architecture and integrations are determined during solution design.
01 / Discover & design
Map workflows, assess data readiness and define success criteria. Agree on integration boundaries, human oversight and a realistic first release.
02 / Build & integrate
Develop the conversation logic, knowledge connections, application services and workflow integrations required for the agreed use case.
03 / Evaluate & validate
Test representative scenarios, incorrect answers, failed tool calls and escalation paths. Review response quality, latency and workflow completion against agreed criteria.
04 / Deploy & refine
Plan a controlled rollout, monitoring and ownership. Use operational feedback to refine knowledge, prompts and workflow behavior before expanding scope.
Security, privacy and governance requirements are assessed per engagement. Certifications, compliance obligations and service commitments must be verified and agreed for the specific solution.
Build what comes next.
Bring us a workflow, a customer challenge or an integration requirement. Aveniq can help define, design and deploy an AI solution around the way your enterprise works.
Talk to Aveniq