What is BRAVOE Mission Control?

Bravoe Mission Control is the central platform for governed AI operators. It defines rules, approved knowledge, actions, approvals, usage limits, review evidence, system access, human handoff, and deployment boundaries.

Does Bravoe support private runtime deployment?

Bravoe supports Managed Cloud for standard paths, Private Managed Cloud for higher-control managed needs, and optional private runtime review where local data control, internal-system access, resilience, or evidence retention requirements justify it. Private runtime and appliance deployment require technical, security, data-handling, support, commercial, and legal review before any deployment path is confirmed.

Which industries does BRAVOE target?

BRAVOE focuses on service businesses, industrial maintenance, compliance operations, and SMEs that need AI operators to operate with rules, approvals, evidence, usage limits, and human handoff.

Paid Workflow Pilot

Validate one controlled AI workflow before a full rollout

Bravoe configures one operator workflow inside Mission Control, tests it against your real process, monitors usage and delivers a pilot outcome report.

Start with a paid workflow pilot

This is a paid customer-proof pathway, not a free trial. Pricing confirmed after workflow scope is reviewed.

Demo before pilot

Before applying for a paid workflow pilot, buyers can use the synthetic demo workspace to see how rules, approval gates, evidence, scenario tests and pilot reporting work.

What the pilot includes

Workflow mapping, operator configuration, business rules, approval gates, test scenarios, Mission Credits allowance, evidence logging and pilot report.

Recommended pilot workflows

Quote Follow-up Pilot is the recommended first pilot. Other pilot workflows include Enquiry Capture Pilot, Admin Inbox Pilot and Payment Follow-up Pilot.

Pilot deployment approach

Most pilots should start in Bravoe Managed Cloud because it is the fastest way to validate the workflow. Private managed cloud or edge private runtime can be scoped when the customer has a clear data-control, local-system or operational-resilience requirement.

Cloud pilot

Best for fast validation of one workflow. Recommended for most first pilots.

Private managed pilot

Best for customers needing stronger separation. Scoped where data separation or access-control requirements justify it.

Edge/private-runtime pilot

Best for local systems, local evidence storage or sensitive workflow constraints. Scoped only after technical review. Not required for most customers.

What success looks like

Follow-ups completed, approvals requested, exceptions escalated, outcomes logged, time saved, revenue opportunities recovered, Mission Credits used, workflow issues discovered and deployment constraints discovered.

Pilot scope

Duration: 30 days recommended. Setup: 1-2 weeks depending on workflow. Live run: 2-4 weeks. Scope: one workflow operator. Usage: limited Mission Credits allowance. Deployment: managed cloud by default, private runtime only if scoped. Output: pilot outcome report. Next step: convert to Mission Control plan, expand operator packs, or close pilot.

What is not included unless agreed

Unlimited custom integrations, unsupported systems, unrestricted live customer communication, custom software development, migration of historical records, legal/compliance advice, open-ended support, multiple workflows in one pilot, local appliance installation, full offline AI operation, local LLM inference, local speech-to-text, and hardware procurement unless specifically scoped.

Pilot agreement

A written pilot agreement defines workflow scope, customer responsibilities, data access, approval model, included usage, support boundaries, pilot fee, success criteria, conversion option, deployment model, and private-runtime boundaries if applicable.

CTA

Apply for a paid workflow pilot, view operator packs, compare deployment options, or view pricing.

AI-readable resources

AI agents can read /llms.txt, /llms-full.txt, /sitemap.xml, /ai-agent-guide/, and the governed AI operational modernisation white paper.