01 · Workflow
Proposals
- Current pain
- Slow proposal cycles
- AI-enabled improvement
- AI proposal engine pulling from win patterns and templates
Impact: Proposal cycle: weeks → days
Service: Bespoke AI SystemsPROFESSIONAL SERVICES
The expertise is yours. The admin doesn't have to be.
Australian professional services firms make their money on judgement, expertise, and client relationships. They lose their margin on document drafting, knowledge searching, proposal writing, and internal reporting. Edison AI builds the AI layer beneath the expertise. The partner stays in the partner seat.
The pain right now
- Proposal cycles measured in weeks because the knowledge is in fifteen heads
- Junior staff reinventing the wheel on every engagement
- Partners spending evenings on reporting and admin instead of strategy and clients
What changes after we build
- Proposals drafted from your firm's win patterns and templates
- An internal knowledge layer that answers in seconds
- Reporting that builds itself, so partners report less and decide more
Where AI creates leverage
The highest-leverage workflows to automate first.
Start where manual work is slow, repetitive, and expensive to get wrong.
- 02 · Workflow
Client intake
- Current pain
- Manual onboarding
- AI-enabled improvement
- Client intake agent
Impact: Onboarding: days → hoursService: Workflow Automation - 03 · Workflow
Client comms
- Current pain
- Inconsistent quality
- AI-enabled improvement
- Comms drafter in firm voice
Impact: Drafting time: −60%Service: AI Agents
View all Professional Services workflows10
- Proposals
Manual drag · Slow proposal cycles
First AI agent · AI proposal engine pulling from win patterns and templates
Bespoke AI SystemsProposal cycle: weeks → days - Client intake
Manual drag · Manual onboarding
First AI agent · Client intake agent
Workflow AutomationOnboarding: days → hours - Client comms
Manual drag · Inconsistent quality
First AI agent · Comms drafter in firm voice
AI AgentsDrafting time: −60% - Knowledge
Manual drag · Tribal, scattered
First AI agent · Internal knowledge AI layer
Bespoke AI SystemsTime-to-answer: 20 min → 30 sec - Matter management
Manual drag · Status invisibility
First AI agent · Matter status assistant
AI AgentsOn-time delivery: +15pp - Reporting
Manual drag · Manual report compile
First AI agent · AI financial brief
Operating IntelligenceReporting: 5d → 1d - Compliance
Manual drag · Manual review
First AI agent · File completeness checker
Bespoke AI SystemsCompleteness: +25pp - Thought leadership
Manual drag · Slow content
First AI agent · Content engine in firm voice
AI Marketing & Search VisibilityContent velocity: 2–3x - Team capability
Manual drag · Inconsistent AI use
First AI agent · Role-based plus responsible AI
Role-Based AI Workflow TrainingScore: 2–3x - Leadership
Manual drag · No firm-level view
First AI agent · Partners' weekly brief
Executive AI EnablementDecision speed
Training needs by role
Who needs to learn what, by the time AI lands.
Role-specific capability paths so AI lands as adoption, not enthusiasm. Every row maps to a named Edison AI training service.
Partner / Director
Strategic AI judgement
Executive AI EnablementFocusProposal review, partner brief writing, client portfolio decisionsWorkflowPipeline review, partner meeting prepRiskReputational, professional standardsSenior consultants
AI-augmented analysis
Role-Based AI Workflow TrainingFocusResearch, synthesis, draftingWorkflowEngagement delivery, scopingRiskConfidentiality, accuracyAssociates / analysts
AI for drafting + research
AI Playbooks & Prompt SystemsFocusProposal drafts, research syntheses, first-pass deliverablesWorkflowDaily drafting, proposal cyclesRiskOver-reliance on first draftsPractice operations
Workflow automation
Workflow AutomationFocusIntake, conflict checking, engagement lettersWorkflowNew-client onboardingRiskPrivilege, conflictKnowledge lead
AI knowledge architecture
Bespoke AI SystemsFocusInternal knowledge base, citation disciplineWorkflowCapability uplift, post-engagement captureRiskIP leakageWhole firm
Foundations + Responsible AI
Cybersecurity & Responsible AI TrainingFocusTools, prompts, safe use, professional standardsWorkflowDaily workRiskInconsistency
Dashboards we build for professional services
The numbers that actually move the week.
Four operating dashboards we typically build for this industry, each tuned to a specific decision cadence rather than a generic reporting suite.
- Dashboard 01
Partners' Weekly Brief
Pipeline, utilisation, write-offs, top 3 client risks, partner capacity
- Sources
- Practice management, time tracking, CRM
- Used by
- Partners, MD
- Decisions improved
- Where to staff, what to push, who to chase
Layout · 3 tiles + AI brief + risk strip
- Dashboard 02
Proposal Win-Loss Board
Proposals out, conversion rate, time-to-proposal, average margin, declining-bid signals
- Sources
- CRM, proposal templates
- Used by
- Partner-in-charge of growth
- Decisions improved
- Where to invest selling time
Layout · Funnel + conversion bar + win-loss list
- Dashboard 03
Knowledge Asset Map
Knowledge artefacts created, reuse rate, gap-coverage by practice area
- Sources
- Internal knowledge system
- Used by
- Knowledge lead
- Decisions improved
- Where to invest capture
Layout · Heatmap by practice + most-reused list
- Dashboard 04
Capability Posture
AI training completion, prompt library usage, sensitive-data audit trail
- Sources
- Training records, prompt library, file storage
- Used by
- Partners, risk lead
- Decisions improved
- Audit readiness, training prioritisation
Layout · RAG grid + action queue
What the build looks like
Visual modules that show the operating layer.
How professional services buyers see their own workflow reflected back: the before-and-after, the dashboards, the prioritisation grids, the journeys and status boards. Every module below is mocked from a real engagement shape.
- Module 01
Proposal Drafting Flow
Engagement brief to signed proposal in five steps, with AI drafting the structural skeleton and the partner adding the judgement layer.
Before / after5 stages01 Brief
Intake form parsed into structured brief
Captured in partner head
02 Scoping
AI-drafted scope from similar engagements
Reused proposal from last year
03 Fees
AI prices from win-rate history
Built late, often discounted
04 Draft
AI drafts; partner edits judgement layer
Partner writes from zero
05 Sign-off
Tracked review and e-signature
Manual circulation by email
Top line shows the AI-enabled state. Strike-through line shows what the team currently does by hand.
- Module 02
Knowledge Base Architecture
How a firm-grade knowledge layer is structured: precedent, matters, and judgement clusters all routed through privilege-gated retrieval with citations to source.
Connected map11 nodes- Precedent library
- Standard contracts
- Engagement letters
- Working papers
- Sign-off memos
- Matter history
- Closed matters
- Open files
- Client notes
- Billing rationale
- Firm IP
- Voice & tone guide
- Pricing playbooks
- Win patterns
Note · Clusters share context through the orchestration layer so each one can query the others without manual handoff.
- Precedent library
- Module 03
Partners' Brief Mockup
Weekly partner dashboard with utilisation, pipeline, AR ageing, and an AI-drafted weekly narrative.
Dashboard previewLive78%
Chargeable utilisation
$612k
Pipeline 30 days
9
Invoices > 60 days
AI weekly summary
“Utilisation steady. Pipeline conversion lifted 11 points after the new scoping template. AR concern: two large clients drift past 60 days — recommend partner-to-partner call before Friday.”
- Module 04
Capability Lattice
Three clusters showing where AI augments associates, where it accelerates partners, and where human judgement stays sole owner of the decision.
Connected map11 nodes- AI lead
- Document review
- Precedent search
- Drafting
- Summaries
- AI assist
- Scoping
- Pricing
- Client comms
- Internal notes
- Human only
- Advice
- Sign-off
- Negotiation
Note · Clusters share context through the orchestration layer so each one can query the others without manual handoff.
- AI lead
- Module 05
Engagement Lifecycle Rail
Intake to engagement letter to delivery to debrief, with AI agents at each stage and the human review gates explicit.
Journey rail5 touchpoints- Day 0 — Intake
AI parses the brief and proposes scope, fees, and lead partner.
Trigger · Inbound enquiry or referral
- Day 2 — Engagement letter
AI drafts in firm tone; partner reviews exclusions and pricing.
Trigger · Scope confirmed
- Day 7 — Working file
Documents indexed into matter; precedent search runs nightly.
Trigger · Engagement signed
- Day 30 — Delivery
AI compiles deliverables; partner adds judgement and sign-off.
Trigger · Internal review gate
- Day 35 — Debrief
AI drafts close memo, billing rationale and lessons-learned note.
Trigger · Matter closes
Case for Change
From workflow visibility to sequenced AI implementation.
Want a version of these modules shaped to your professional services setup? Tell us the stack, the workflows, and the stakeholders. We'll come back with a sequenced plan.
Talk to the teamRecommended AI agents for Professional Services teams10
01
Proposal and Engagement Letter Engine
Drafts proposals and engagement letters from firm templates, win patterns, and client context.
Why it matters: The highest-leverage workflow in most firms.
Bespoke AI Systems02
Internal Knowledge AI Layer
Conversational search across documents, matters, emails, and intranet.
Why it matters: Removes the single biggest hidden cost.
Bespoke AI Systems03
Client Intake Agent
Onboards new clients with conflict checks, KYC, engagement letters.
Why it matters: Shorter time-to-billable.
Workflow Automation04
Meeting Summary and Action Engine
Generates summaries, action items, and CRM updates from meeting transcripts.
Why it matters: The most reused workflow across functions.
AI Agents05
Document Drafting Co-pilot
First-pass drafts of memos, letters, advice, status reports.
Why it matters: Compounds across every matter.
AI Playbooks & Prompt Systems06
Matter Status Brief
Per-matter weekly brief for partners and clients.
Why it matters: Reduces partner status-check load.
Operating Intelligence07
CRM Hygiene Agent
Logs activities, updates records, flags stale ones.
Why it matters: Foundation for everything else.
AI Agents08
Partners' Weekly Brief
Firm-level summary: pipeline, matters at risk, billings, capacity.
Why it matters: Leadership cadence.
Executive AI Enablement09
Compliance and File Review Assistant
Reviews matters for completeness against compliance templates.
Why it matters: Audit-readiness without a person-week.
Bespoke AI Systems10
Thought Leadership Content Engine
Drafts articles, posts, newsletters in firm voice from partner ideas.
Why it matters: Inbound pipeline lift.
AI Marketing & Search VisibilityCommon workflows we automate10
- Proposals.AI proposal engine pulling from win patterns and templates
- Client intake.Client intake agent
- Client comms.Comms drafter in firm voice
- Knowledge.Internal knowledge AI layer
- Matter management.Matter status assistant
- Reporting.AI financial brief
- Compliance.File completeness checker
- Thought leadership.Content engine in firm voice
- Team capability.Role-based plus responsible AI
- Leadership.Partners' weekly brief
Relevant Edison AI services6
Bespoke AI SystemsRole-Based AI Workflow TrainingCybersecurity & Responsible AI TrainingAI Readiness AuditOperating IntelligenceExecutive AI Enablement
Edison AI builds on your existing stack (Salesforce, HubSpot, Xero, Karbon, ActionStep, LEAP). No replatforming.
Professional Services FAQs10
Will AI compromise professional judgement or independence?
No. AI is scoped to drafting and admin layers. Final advice and judgement remain with the qualified human.
What workflows should professional services automate first?
Proposal drafting, internal knowledge, and intake typically pay back fastest.
Will this work with our practice management (LEAP, FilePro, ActionStep, Karbon, NetDocuments)?
Yes.
How long does implementation take?
First system in 4 to 6 weeks. Knowledge layer typically 8 to 12 weeks.
What about client confidentiality and matter privilege?
ACSC and OAIC aligned, with matter-level access controls.
How do we train staff on safe AI use?
Role-based training plus responsible AI for compliance.
What should partners actually measure?
Proposal cycle, win rate, knowledge use, utilisation, time-to-answer.
Does AI replace lawyers, accountants, advisers, or consultants?
No. It removes the admin around the expertise.
What's the best first step?
A Readiness Audit, fixed fee.
What about regulatory expectations (Law Society, CPA, CA ANZ, AICD)?
We align with current Australian professional standards and update as guidance evolves.
Work with us
Pick the workflow with the biggest weekly drag. That's the first agent we build.
Most professional services firms find 30 to 50% of associate and admin time recoverable in the first audit. Proposals, knowledge, and intake are the usual top three.
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