AI Business Assistants

AI Business Assistants for Everyday Work

We build AI assistants that help your Tucson team draft, search, and summarize—using approved knowledge, with citations where available, and clear escalation paths.

Role and Task Definition

We start by defining what the assistant will help with: drafting emails, searching internal documents, summarizing reports, or preparing meeting notes. The role is specific, not a general-purpose chatbot. We also define what it will not do—no authoritative advice, no legal or financial conclusions, no actions outside its tools. This clarity prevents misuse.

Approved Knowledge and Tool Boundaries

Approved knowledge sources, user roles, and tool permissions define the assistant’s intended reach. Access filters and scoped credentials reduce exposure, but they require testing and recurring review. Read, search, draft, send, and modify capabilities are separated so consequential actions can require human approval. Citations or source links are displayed when the architecture supports them, and users are instructed to verify important outputs against the underlying source.

Escalation, Feedback, and Evaluation

Unsupported, ambiguous, or high-impact requests follow a no-answer or human-escalation path. Feedback controls let users flag inaccurate, incomplete, or unsafe responses. Evaluation covers representative tasks, failure cases, source attribution, permission boundaries, and escalation behavior. Metrics are interpreted with context and do not prove productivity, accuracy, or business outcomes.

Logging, Adoption, and Honest Limits

Interaction logging is limited to the events approved for operations, privacy, security, and retention requirements. The team receives role-specific guidance on appropriate use, verification, escalation, and prohibited data. Models and knowledge sources change, so evaluation and updates continue on an agreed cadence. The assistant remains a fallible support tool rather than a source of truth or substitute for accountable human judgment.

What the engagement can produce

Practical deliverables

Assistant Role and Task Specification

A clear description of the assistant's purpose, allowed tasks, and explicit non-tasks.

Approved Knowledge and Tool Access List

A catalog of data sources and tools the assistant can use, with permission levels and boundaries.

Escalation and Feedback Protocol

Rules for when the assistant escalates to a human, plus a feedback mechanism for users.

Usage Log and Evaluation Dashboard

A logging schema and a set of metrics to track adoption, escalation rates, and user satisfaction.

Get an assistant that respects boundaries

Let's define the role, the knowledge, and the limits for your Tucson team's AI assistant.