AI Solutions We Can Build for Consulting Firms
What Technspire builds for consulting and professional-services firms: knowledge platforms that surface decades of engagement work, M365 Copilot rollouts for partners and analysts, proposal generation pipelines, and the engagement analytics that drive utilisation. This page describes our offerings; talk to us about applying them in your organisation.
Why consulting firms invest in AI
Consulting firms run on knowledge and time. The knowledge sits across decades of engagement decks, methodologies, work papers, and analyst notes — most of it unfindable without AI assistance. The time is billable hours, and any tool that lets a partner draft a proposal in two hours instead of eight is the tool that pays for itself in a quarter.
Technspire builds AI workloads that turn the firm's existing knowledge into a competitive surface: searchable, citable, secure, and integrated with the M365 environment partners already work in.
What we can build
Knowledge platforms for consultants
RAG-powered internal knowledge platforms that index past engagement decks, methodologies, work papers, and analyst notes. Confidentiality-respecting access scoped per engagement and per practice. Citations on every answer so partners can verify before they cite to a client.
Stack: Azure AI Search, Azure OpenAI, SharePoint integration, Entra-backed access control with engagement-level scoping.
M365 Copilot rollouts
Structured deployment of Microsoft 365 Copilot for partner and analyst productivity: governance design, role-based licensing, permission scoping in SharePoint and Teams, and the change-management work that determines whether the rollout produces measurable productivity uplift or shelfware.
Stack: Microsoft 365 Copilot, Entra Conditional Access, Microsoft Purview for data classification, Copilot Studio for custom workflows.
Proposal generation pipelines
AI-assisted proposal generation grounded in past winning proposals, methodology libraries, and the firm's voice. Section-level drafting with partner review, automatic compliance checks against RFP requirements, and pricing-model integration.
Stack: Azure OpenAI, Azure AI Search for proposal-library retrieval, custom validation skills, M365 integration for partner review.
Engagement analytics
Operational dashboards for utilisation, engagement profitability, partner pipeline, and project-health signals. AI-assisted analysis of timesheet patterns, project budgets, and delivery cadence to surface attention-worthy engagements before they slip.
Stack: Microsoft Fabric, Power BI, Azure Machine Learning, integration with PSA tools.
Built for client-confidentiality reality
Consulting AI lives inside strict client-confidentiality regimes. Every workload accounts for engagement-level access scoping, audit trails an information-security officer can defend, and data-handling boundaries that keep one client's data from contaminating another's. M365 Copilot rollouts in particular require careful tenant configuration to honour Chinese-wall expectations.
How a typical engagement works
Want to discuss what we can build for your firm?
Short conversations are free. Bring a knowledge-platform problem, a Copilot rollout question, or a proposal pipeline you want to accelerate.