ContourIQ designs, builds, and manages AI-assisted workflows that can interpret approved context, prepare work, and route decisions across the tools you already use. Axiom keeps the knowledge, actions, approvals, and exceptions connected.
AI-assisted customer request
Example architecture only. Your workflow, systems, permissions, and approval requirements determine the implementation.
This is not a chatbot dropped onto a website. The service begins with a defined business job, connects the information needed to perform it, establishes what AI may and may not do, and gives a named person ownership of approvals and exceptions.
The strongest implementations reserve AI for language, context, classification, and drafting. Deterministic steps still handle permissions, required fields, routing rules, and system updates.
Interpret an inquiry, gather the right business context, prepare a useful first response, and route the opportunity without letting the model invent pricing or commitments.
Triage routine messages, draft grounded replies, identify missing details, and move unusual or sensitive requests to the right person.
Use approved internal material to summarize, extract, compare, and prepare structured work while preserving a review step for consequential output.
Handle a narrow, disclosed call job such as after-hours intake or appointment requests, with approved knowledge, recording and consent rules, and a clear route to a person.
A reliable AI workflow depends on source quality, system permissions, evaluation cases, human ownership, and a recovery path—not clever prompting alone.
Define the request, judgment, or draft that consumes time and the conditions that make an answer acceptable.
Identify approved knowledge, required records, permitted tools, prohibited actions, and explicit escalation rules.
Test expected, incomplete, ambiguous, adversarial, and high-risk cases before any action is allowed to run.
Monitor quality, overrides, failures, response time, and business outcomes; expand authority only when evidence supports it.
Every implementation should make model context, action authority, and escalation ownership understandable to the people responsible for the process.
The workflow does not need to be perfect, but the business must be able to decide what good looks like and who handles exceptions.
For ContourIQ, the deliverable is a working, documented business workflow: process map, connected systems, approved knowledge, model and rule behavior, permissions, evaluations, human controls, launch support, and defined measurements. Scope varies by workflow.
We build agents with defined jobs and bounded authority. Some low-risk actions can run automatically; sensitive, unusual, or consequential work can require approval or escalation. We do not treat autonomy as the goal by itself.
Often, yes. The workflow audit confirms available APIs, permissions, data quality, and practical constraints before an integration is promised. We favor the tools you already use when they can support the job reliably.
Measures are selected before launch and may include response time, completion rate, human override rate, error and escalation rate, hours of manual handling, recovered opportunities, or another outcome the business can verify. We do not guarantee a result before the baseline exists.
Data handling depends on the selected model, vendor terms, configuration, and deployment. ContourIQ documents the chosen architecture and data boundaries during scoping; do not assume every vendor or setup behaves the same way.
We'll map the current path, the smallest useful implementation, the controls it needs, and the measurements that should decide whether it expands.