T7 builds AI systems for consulting, audit, engineering and staffing firms — proposal copilots, knowledge search, research automation and utilisation-driven forecasting.
Professional-services firms are talent businesses — and every AI hour saved is billable time freed. T7 Solution builds firm-wide copilots for proposal writing, prior-work search and research that measurably lift utilisation without diluting quality.
We deploy inside your tenancy with permissions preserved, so partners only see what they should. Every draft is a draft — a human accepts, edits or rejects.
Integrations cover SharePoint, Google Workspace, iManage, Salesforce, HubSpot and firm-specific practice-management systems.
Prior work is scattered across mailboxes, decks and departing partners' laptops.
RFPs eat senior time — often rewritten from scratch instead of assembled from wins.
Analysts spend days reading filings and transcripts before insight can start.
Bench forecasting is spreadsheet-driven and lags pipeline reality by weeks.
Draft RFP responses from prior wins, capability decks and consultant CVs.
Firm-wide RAG over decks, memos, models and prior engagements — with permissions preserved.
Agents that read filings, transcripts and news to draft first-cut industry and target research.
ML models on pipeline + bench to forecast utilisation and hiring needs.
Production-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
Explore serviceMulti-agent architectures that plan, use tools and complete complex tasks.
Explore serviceProduction ML for forecasting, churn, risk and pricing — trained on your data.
Explore serviceAI-native automation that reads, decides and acts across your systems.
Explore serviceExplore how T7 Solution delivers professional services & consulting AI locally — with on-site discovery, compliance patterns and language coverage tuned to each market.
Retrieval is permission-aware — the vector index stores ACLs and every query filters against the user's entitlements before results are returned.
Every claim traces to source engagements. Partners edit and approve — the AI is an accelerator, not an author of record.
Pilot in one practice: 6–8 weeks. Firm-wide with permissions, evals and governance: 4–6 months typical.
Yes — Azure private, AWS GovCloud, on-prem GPU or hybrid setups are all supported.
Use cases, insights and comparisons chosen for professional services & consulting teams evaluating AI.
A copilot that drafts, researches and updates the CRM — so reps sell.
First-pass redlining in minutes, grounded in your playbook.
Draft first-pass underwriting notes with citations, in minutes.
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