For grant and tender consultants
AI operating layer for grant and tender consultants.
Help your team use AI for screening, research, drafting and review without losing professional control over eligibility, sources and client-facing documents.
ScreeningFaster intake and eligibility checks
Delivery systemReusable prompts and templates
Evidence controlReview trails for client work
Why consultants
Clients will expect speed. The professional risk stays with you.
Faster intake and screening
AI-supported call summaries, eligibility checks and decision briefs.
Reusable delivery system
Prompts, templates and review checklists for repeatable consultant work.
Evidence discipline
Source registers, claim checks and reviewer logs for client-facing documents.
Implementation sequence
Build AI into the professional workflow, not around it.
1
Map the service lineWe identify the recurring steps across screening, proposals, reports or tenders.
2
Create operating assetsTemplates, prompts, evidence rules and review checkpoints become reusable.
3
Train on real client workThe team learns the workflow through actual documents and decisions.
Workflow scenarios
Consulting workflows where AI can help without weakening professional control.
Grant screening
Faster opportunity triage before the team commits.
Issue
Consultants spend too much time reading calls that are not a fit for the client.
System
AI-supported intake brief, eligibility prompts, exclusion flags and human go/no-go review.
Output
Repeatable screening template and decision trail for client communication.
Tender delivery
Client-facing drafting needs a consistent review standard.
Issue
Different consultants use AI differently, creating uneven quality and source discipline.
System
Shared prompt sets, evidence checks, reviewer roles and document quality gates.
Output
Delivery playbook for proposal preparation, review and handover.
Client evidence
Claims need to stay defensible when documents scale.
Issue
AI speeds drafting, but unsupported claims can create client and consultant risk.
System
Claim extraction, source register, AI-use notes and final reviewer checklist.
Output
Evidence-controlled delivery package for recurring client work.
Common risks
The problem is not that consultants use AI. The problem is unmanaged AI use.
- Unsupported or outdated claims enter client documents.
- Eligibility assumptions are copied into drafts too early.
- Teams cannot explain which sources support which statements.
- There is no shared standard for what AI can draft, summarise or decide.
Turn AI into a controlled delivery layer for your consulting team.
Start with one client-facing process: screening, proposal preparation, reporting or evidence review.