AutoGrant

AutoGrant for consultants and agencies

Run more client grant pipelines without turning your practice into a document factory.

AutoGrant gives grant professionals a governed operating system for client context, opportunity evaluation, requirements, drafting, quality assurance, approvals, submission readiness, reporting, and renewal—while keeping professional judgment and client voice in control.

AI Judge · Client scorecard

Illustrative structure
  • Is the client eligible?
  • Does the opportunity fit the actual program?
  • Can the client deliver and report?
  • What evidence or partner is missing?
  • What makes the client competitive?

Consultant recommendation

A documented pursuit decision, approved by the client.

Separate governed client profiles

Documented, inspectable pursuit recommendations

Client approval and final authorization

AI handles the volume. People own the judgment.

The consultant constraint

Consultants create value through judgment, pattern recognition, strategy, relationships, facilitation, and writing.

Too much of the week is still spent:

A generic chatbot may speed up a paragraph while making context, governance, and version control harder. AutoGrant is the workflow and system-of-record layer around the professional service.

  • Rebuilding client context
  • Searching and qualifying opportunities
  • Converting notices into checklists
  • Chasing facts and attachments
  • Reconciling versions
  • Repeating quality checks
  • Producing status reports
  • Reconstructing prior decisions
  • Managing deadlines across disconnected tools

Separate client context

No client context should leak into another client’s work.

Each client should have distinct

  • Mission, programs, priorities, and exclusions
  • Voice and approved language
  • Evidence and outcomes
  • Funding history
  • Funder relationships
  • Documents and data
  • Opportunity pipeline
  • Requirements and drafts
  • Review and approval path
  • Reports and renewal history
  • Permissions and access

AI Judge as a consulting deliverable

A clear no-go can save the client money and strengthen trust.

AI Judge can strengthen the consultant’s strategic value by turning the pursuit recommendation into an inspectable client artifact.

A client scorecard can answer

  • Is the client eligible?
  • Does the opportunity fit the actual program?
  • Can the client deliver and report?
  • What evidence or partner is missing?
  • What makes the client competitive?
  • What would need to change before pursuit?
  • What is the opportunity cost?
  • What is the consultant’s recommendation?
  • Who approved the decision?

Discover → Decide → Build → Submit → Steward → Renew

Repeatable workflow

  1. Build or review the client profile.
  2. Define fundable priorities and pipeline.
  3. Score opportunities with client-specific context.
  4. Present a documented pursuit recommendation.
  5. Extract requirements into a reusable delivery plan.
  1. Assign client and consultant inputs.
  2. Draft from approved client evidence.
  3. Apply repeatable senior quality review.
  4. Route client approval and final authorization.
  5. Preserve reports, feedback, and renewal context.

Capacity without commoditization

Use AI to carry repeatable research, structuring, drafting, checking, and coordination so senior grant expertise can serve more clients and focus on strategy, relationships, evidence, and quality.

Possible consultant outcomes

  • More client capacity
  • Faster opportunity qualification
  • More consistent delivery
  • Clearer client responsibilities
  • Better visibility across pipelines
  • Stronger quality assurance
  • More valuable strategic artifacts
  • Less institutional knowledge trapped in one consultant’s files

Client collaboration

A strong workflow makes visible:

Shared clarity about who owns what—so nothing stalls in an inbox and nothing is submitted without the client behind it.

  • What the consultant needs
  • Who owns each fact or attachment
  • What has been approved
  • What is blocked
  • Which version is current
  • What remains before submission
  • What was finally submitted
  • What the client must deliver after an award

Professional models

AutoGrant may support:

  • Independent consultant delivery
  • Multi-consultant agency delivery
  • Fractional grants leadership
  • Co-delivery on complex or Enterprise engagements
  • Referral or implementation partnerships
  • Design-partner participation

Human control

Consultants and clients remain responsible for:

  • Strategic recommendation
  • Funder and client relationships
  • Facts and evidence
  • Program and budget commitments
  • Ethical and professional judgment
  • Disclosure
  • Final quality
  • Client authorization
  • Submission and post-award delivery

Why not just ChatGPT?

ChatGPT can help draft. It does not by itself provide:

  • Separate governed client profiles
  • A grant pipeline
  • AI Judge pursuit records
  • Solicitation-to-requirements workflow
  • Client assignments and approvals
  • Complete package readiness
  • Portfolio visibility
  • Award obligations and renewal history
  • A controlled system of record

AutoGrant runs the work around the draft.

FAQ

Frequently asked questions

No. It expands the consultant’s operating capacity and makes professional judgment more visible and repeatable.

Book a consultant walkthrough

Bring one active client opportunity.

We will show how the client profile, AI Judge scorecard, requirements plan, drafting workflow, quality review, approval, and portfolio view connect—without asking you to give up professional control.

For example: retainer clients, project-based proposals, a mix of strategy and writing engagements.