Microsoft 365 Copilot
Rolled out with training and use cases, not just switched on. Meeting summaries, email drafting, document search.
AI Solutions
Copilot, custom automations, and secure AI adoption — from the same team that already manages your Microsoft 365 tenant and your data. Real ROI, not hype.
Use Cases
Rolled out with training and use cases, not just switched on. Meeting summaries, email drafting, document search.
Automate specific workflows — support triage, document classification, sales research, meeting note-taking.
Low-code AI agents built on top of your existing Microsoft 365 data, deployed in Teams.
Extract structured data from invoices, contracts, and forms — replace manual data entry.
AI-powered lead scoring, opportunity summarisation, and next-best-action recommendations.
Secure, private chatbots grounded in your company's own documentation and policies.
Delivery Process
2-hour session with stakeholders to identify high-value use cases and eliminate low-ROI ones.
One or two focused pilots with measurable success criteria. Usually 4-8 weeks.
Successful pilots scaled to the wider organisation with training and change management.
Monthly usage and ROI tracking. Adjust, iterate, or retire based on actual outcomes.
Governance
Safe AI Adoption
Deploy AI on enterprise platforms where your data isn't used to train public models. Set data classification and prompt policies. Block sensitive data leakage. AI adoption without the compliance headache.
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FAQs
Frequently Asked Questions
Practical, business-focused AI: Microsoft Copilot rollouts (M365 Copilot, Copilot Studio), custom AI agents for specific workflows, integrations between LLMs and your existing systems (CRM, ERP, ticketing), and governance frameworks so your AI use doesn't leak data or create compliance headaches.
It depends on how it's rolled out. Handed to users with no training and no defined use cases, Copilot usually gets under-used and hard to justify. Rolled out with structured onboarding, targeted use cases, and monthly usage reviews, most Melbourne SMEs see clear ROI within 90 days.
Yes. Custom AI agents for internal workflows (support triage, document classification, meeting summarisation) are a common Black Lantern project. Typical engagement is 4-8 weeks from scope to production, using Azure OpenAI, Copilot Studio, or third-party frameworks depending on requirements.
This is one of the biggest reasons clients engage us. We deploy AI on enterprise-grade platforms (Azure OpenAI, Microsoft Copilot) where your data isn't used to train public models. We also build the governance frameworks (data classification, allowed prompt patterns, sensitive data blocking) to keep AI adoption safe.
Yes — user training is a critical part of any Copilot rollout. We run 2-hour hands-on workshops for staff, plus role-specific training for common workflows (finance, sales, HR). Ongoing tips and prompt libraries are delivered as part of the managed service.
Yes — we build measurement into every engagement. Baseline productivity metrics, adoption tracking, time-saved surveys, and specific-workflow ROI (e.g., 'meeting notes take 5 minutes not 30'). Monthly reports show whether AI is paying for itself.
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Talk To Black Lantern
Send us a message and we'll respond within 15 minutes during business hours. For urgent issues, call 1300 146 218 — we answer 24/7/365.