ACT — Build Capability

AI Operations

Design supervised agents and automations that help appropriate work move while people retain judgment and accountability.

Overview

Designed around operating reality

AI Operations applies intelligence to real business workflows: researching, drafting, coordinating, analyzing, updating, monitoring, or executing approved actions. The goal is not an autonomous workforce. It is a dependable system that returns capacity while preserving the right human decisions.

Potential use cases include opportunity or RFP intake, proposal drafting and follow-up, project setup, executive briefs, project status, knowledge retrieval, and client communications. These are examples of work Sunrise can assess and design; they are not presented as a catalog of finished off-the-shelf products.

Common friction points

  • Follow-ups, handoffs, summaries, and system updates depend on memory.
  • Teams are experimenting with AI tools outside a shared operating or governance model.
  • Leaders need to know what an agent may read, draft, change, or execute.
  • Repetitive coordination consumes capacity that should go to clients, judgment, and delivery.

What this service includes

  • Supervised agents for approved AEC business workflows
  • Workflow automation, integration, and approval flows
  • Agent authority, permissions, prohibited actions, and escalation rules
  • Human review interfaces and traceable action records
  • Pilot plans and performance measures before broader authority is considered

Where owners feel the difference

  • Routine work moves with less manual chasing and re-entry
  • People retain control over consequential business and professional decisions
  • Agent behavior is bounded, reviewable, and tied to a business owner
  • AI adoption produces measurable learning instead of disconnected experiments

Blueprint → Build → Refine

A structured path from architecture to measured use

Each service fits into the same Sunrise arc: understand the work, implement approved priorities, then refine the operating system as evidence accumulates.

01

Choose the right work

Understand the process first and decide whether simplification, rules, standard software, automation, or AI is appropriate.

02

Bound the authority

Define access, approval points, prohibited actions, escalation, audit requirements, and failure behavior.

03

Pilot and measure

Implement a narrow, observable workflow, review real performance, and expand only when evidence supports it.

Discuss This Service

Need ai operations that fit your firm’s operating model?

Start with a focused qualification conversation about the operating problem, the people involved, and what a useful next step should accomplish.