AI that doesn't just respond. It executes.
We build, integrate, and operate AI agents that execute business workflows across your existing systems—from revenue operations and financial processes to customer and employee service.
Our agents do more than generate answers. They research, reason, take authorized actions, verify outcomes, and escalate decisions when human judgment is needed.
Execution vs. Generation
Most AI stops at generating answers.
Our agents execute the workflow.
Chatbots and assistants answer questions but still leave the operational coordination, system updates, and verification on your team. Knemetic agents are designed to carry workflows to completion within defined operational boundaries.
Triggered by inbound requests, file drops, or system signals.
Retrieves verified customer and operational history.
Applies business rules, thresholds, and qualification criteria.
Performs authorized actions across connected systems.
Validates outcome accuracy and records execution logs.
Hands off edge cases with context for human approval.
Solution Areas & Architectures
Solutions built around your operational workflows
Knemetic works across four core solution areas, with implementations tailored to your systems, workflow rules, and operating requirements.
Revenue
Qualify prospects, research accounts, and coordinate sales engagement.
- •Inbound lead qualification and routing
- •Account research and contextual enrichment
- •Follow-up sequences and meeting coordination
Revenue Operations Agent
A coordinated workflow for prospect research, qualification, personalized engagement, and sales-system updates.
Explore architectureWorkflow Automation
Connect cross-system data, validate documents, and execute operational tasks.
- •Operational data synchronization
- •Document parsing and field validation
- •Transactional reconciliation and reporting
Finance Operations Agent
An AI-assisted invoice-processing workflow combining document extraction, validation, exception handling, and controlled accounting-system updates.
Explore architectureCustomer Operations
Resolve routine tier-1 requests, retrieve verified knowledge, and route exceptions.
- •Inquiry triage and intent classification
- •Knowledge retrieval and response drafting
- •Service ticket resolution and escalation
Enterprise Knowledge & Service Agent
An employee service workflow that retrieves approved knowledge, processes requests, initiates authorized actions, and escalates unresolved issues.
Explore architectureEngagement
Deliver timely follow-ups, event notifications, and personalized re-engagement.
- •Post-interaction satisfaction and check-ins
- •Event reminders and confirmation flows
- •Dormant account re-engagement sequences
Integration & Orchestration
Agents that work across your existing systems.
Your business workflows rarely live in one application. We build agents that coordinate work across the systems your teams already use—retrieving context, applying rules, executing authorized actions, and verifying outcomes.
Connected Business Systems
Knemetic Agent Orchestration
Capabilities used in designing agent workflows (tailored per implementation)
Context retrieval
Queries relevant customer, account, or transaction history across authorized endpoints.
Reasoning & decision-making
Evaluates inputs against defined business rules, thresholds, and operational constraints.
Authorized actions
Executes approved actions such as drafting updates, triggering notices, or creating records.
Validation & verification
Verifies outputs, data formats, and delivery confirmations before marking tasks complete.
Exception handling & escalation
Identifies discrepancies or ambiguous cases and routes them to human reviewers with context.
Execution logging
Maintains an operational history of inputs, decisions, actions, and timestamps.
Business Actions & Verified Outcomes
Specific tool compatibility confirmed during discovery.
Data Access, Permissions & Governance
Integrations are designed around your environment, appropriate access permissions, and governance controls. System access, provider requirements, and review gates are evaluated during discovery.
Work & Scenarios
Representative Workflows & Case Scenarios
Illustrative examples of how AI agents can be designed to resolve operational bottlenecks across diverse business functions.
Missed calls converted to booked appointments — without a receptionist
HVAC company, ~15 field technicians, heavy inbound volume in peak season
During summer peak season, the office team couldn't keep up with inbound call volume. Calls went to voicemail, follow-up was inconsistent, and estimates suggested a meaningful share of missed calls were walking away to competitors before anyone called back.
After-hours calls captured and intake started before morning
Personal injury law firm, regional, significant after-hours inbound volume
Prospective clients often call during evenings and weekends — frequently in distress and looking for immediate reassurance. The firm had no after-hours coverage. Calls went to a generic voicemail, follow-up happened the next business day, and an unknown proportion of callers had already retained another firm by then.
Personalised outbound at volume — without a research team
B2B SaaS company, 30-person team, no dedicated SDR function
The sales team was responsible for their own prospecting. In practice, this meant sporadic outreach with limited personalisation — they didn't have time to research properly and still hit meetings. The pipeline was thin and inconsistent.
Delivery Approach
How an engagement works
We work as an implementation and operations partner, not a software vendor. We own the technical design, integration, controlled deployment, and ongoing governance alongside your team.
Discover
Map the workflow, systems, data access, business rules, exception paths, and decisions that require human involvement.
Build
Implement the agent, integrations, orchestration, and controls around the agreed workflow. Test the important paths and failure cases.
Deploy
Introduce the agent through a controlled rollout, validating its behavior and outputs before expanding its responsibilities.
Operate
Monitor execution, handle exceptions, and improve the workflow as business requirements and systems evolve.
See if there's a fit — no pitch, no commitment.
Tell us where work currently moves between people and systems. We'll determine whether an agent can execute it.