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AI Workspace Professional services firm 2026

Unified AI Workspace for Sales & Operations

This is what it looks like when AI runs your business operations. A complete AI-powered workspace where 15 knowledge base files feed 18 workflow skills across tender evaluation, proposal generation, and marketing content. Every output passes through a quality gate. Every document comes out branded. Not one automation — an entire operations layer.

18 Workflow skills across 3 domains
15 Knowledge base files powering output
Quality Gate on every deliverable

The Problem

The firm ran three critical business functions — evaluating new opportunities, writing proposals, and producing marketing content — using disconnected tools, inconsistent templates, and a lot of manual rework. Each function had its own documents, its own habits, and its own version of the truth about what the company actually does and offers.

The result: proposals contradicted the website. Opportunity assessments relied on gut feel. Marketing content was either stale or generic. And every new hire had to learn it all from scratch.

What We Built

A shared knowledge base — 15 files covering company profile, service descriptions, pricing logic, partner ecosystem, brand voice, and delivery methodology — all structured into a single source of truth that every AI skill reads from. When something changes, it changes everywhere.

A routing layer — a master configuration that understands the user’s intent and routes them to the right workflow. “Evaluate this RFP” triggers one path. “Build a proposal for this client” triggers another. “Write a LinkedIn post about this topic” triggers a third. No ambiguity, no guesswork.

18 workflow skills across three domains:

Tender & Opportunity Evaluation — upload a tender document or describe an opportunity, and the system scores it against a defined framework: strategic fit, delivery risk, margin potential, competitive position. Outputs a structured go/no-go recommendation with flagged risks.

Proposal Builder — a four-stage pipeline. Stage one scopes the engagement and calculates pricing across three scenarios. Stage two generates a branded statement of work. Stage three produces an internal delivery specification with full cost breakdown. Stage four creates a client-facing presentation deck. All four outputs are generated from one scoping conversation.

Marketing Operations — multiple skills covering weekly industry scanning, LinkedIn posts, blog articles, newsletters, sales collateral, competitor analysis, content repurposing, reactive social posts, editorial calendar planning, case narratives, and event content. All grounded in the same company knowledge base, all writing in the defined brand voice.

Branded document generation — every output follows the company’s visual identity. Word documents, PowerPoint decks, and Excel specifications are produced in branded templates automatically. No manual formatting.

Quality gate on every deliverable — nothing leaves the system without passing structured quality checks.

The Result

Proposal preparation time dropped from days to hours. Opportunity evaluation became a structured, repeatable process instead of an ad-hoc discussion. Marketing content went from sporadic and inconsistent to a steady, planned cadence — all aligned with what the company actually does and says elsewhere.

The system didn’t just save time. It created consistency across every client-facing document and internal decision the firm produces. Everything above running as one connected system.

Stack

Claude · Custom orchestration · Word/Excel/PowerPoint generation · Knowledge base architecture · Quality gates

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