AI that works for your business, secured from day one.
AI assistants, agents and automation deployed on a governed foundation, plus AI built into how we monitor, support and defend your environment. Engineers stay in control.
Most organizations already use AI, whether IT approved it or not. The risk is rarely the model itself; it is the data the model can reach. Firelane starts with permissions, data labels and an acceptable-use policy, then rolls out assistants and agents that only see what each person is allowed to see.
We use the same tools in our own operations. AI triages tickets, correlates security alerts and spots network and system anomalies faster than any person could, and an engineer reviews every action that changes your environment.
Reference architecture
AI with a human checkpoint
- AI reads tickets, alerts, documents and telemetry
- It triages and drafts; an engineer approves changes
- Every action is logged and reviewable
What we deliver
AI Readiness & Data Governance
Permission review, sensitivity labels and oversharing cleanup before any AI rollout.
AI Strategy & Roadmap
Use cases ranked by value and risk, with a budgeted plan and measurable outcomes.
AI Assistant Deployment
Microsoft 365 Copilot, Google Gemini and ChatGPT Enterprise configured with the right access, licensing and training.
AI Agents & Workflow Automation
Agents and automations for onboarding, ticket intake, reporting and approvals, with a human checkpoint.
Managed AI Workspace
Licenses, access, usage monitoring and policy enforcement on a monthly agreement.
AI Governance & Responsible Use
Policies, risk register and controls aligned to the NIST AI Risk Management Framework and ISO/IEC 42001.
Private AI & GPU Infrastructure
On-premises and hybrid AI servers, storage and networking for models that must keep data in-house.
AI Security & Shadow AI Discovery
Unapproved AI apps found, risky uploads blocked and AI applications protected against prompt injection and leakage.
AI Training & Adoption
Role-based training so people use AI well, safely and often.
AI inside our operations
Every managed service runs on AI-assisted tooling, with people accountable for the outcome.
AI security operations
Alerts correlated and triaged at machine speed; analysts confirm every containment.
AIOps
Anomaly detection and predictive alerts across network, servers and cloud.
AI service desk
A 24/7 assistant resolves routine requests and routes the rest with context.
Living documentation
Configuration changes drafted into diagrams and runbooks automatically, then reviewed.
How we keep AI safe
People approve changes
AI recommends; an engineer approves any action that changes your environment.
Your data stays yours
Enterprise AI services with contractual data protections. Client data is never used to train public models.
Logged and reviewable
AI actions are logged, so you can see what was done, when and why.
FAQ
Frequently asked questions
Is our data used to train public AI models?
No. We deploy enterprise AI services with contractual data protections, and client data is never used to train public models.
Where should we start with AI?
With an AI readiness review: permissions, sensitivity labels and an acceptable-use policy. AI assistants see everything a user can open, so fixing oversharing first makes the rollout safe.
Which AI assistants do you deploy?
Microsoft 365 Copilot, Google Gemini and ChatGPT Enterprise, configured with the right access, licensing and role-based training.
Related services
All servicesTalk to an engineer about AI & automation.
A 30-minute call about your environment and practical next steps, whether or not you hire us.