AutoGrant

The AI-native grant operating system

Build the grants capacity of a world-class institution.

AutoGrant gives organizations specialized AI agents for funding strategy, opportunity evaluation, proposal development, quality review, grant operations, reporting, and renewal. AI handles the volume and coordination. Your people keep the judgment, relationships, commitments, and final approval.

Enterprise is the flagship managed model. AutoGrant is also available as a hosted Platform and as a professional operating system for grant consultants and agencies.

AI Judge scorecardIllustrative scorecard — sample data

Regional Youth Workforce Innovation Initiative

Eligibility: Confirmed — Applicant type and geography meet the published criteria.

Mission alignment
91/100
Capacity fit
72/100
Competitive position
58/100
Strategic value
86/100

Verdict: Pursue with conditions

Proceed after confirming the data owner, strengthening the employer partnership, and documenting the required match.

AI Judge supports a defensible pursuit decision. It does not guarantee an award.
  • Human approval required

    Nothing is submitted without explicit sign-off.

  • Built in your voice

    Drafts use your approved organizational context, evidence, and prior work.

  • Your data stays yours

    Customer content is not used to train shared AI models or another customer's workspace.

  • Full grant lifecycle

    Discovery, decision, application, stewardship, reporting, and renewal stay connected.

The real constraint

The funding is there. Reaching it is the constraint.

Grant-dependent organizations lose capacity in three places: opportunities they never see, strong opportunities they cannot staff, and weak opportunities they spend too much time chasing.

The ones you never saw.

Your team can only cover so many funding channels, funders, programs, and relationships by hand.

The ones you couldn't staff.

A qualified opportunity still goes unpursued if requirements, budgets, writing, review, and coordination exceed available capacity.

The ones you shouldn't have chased.

A poor pursuit consumes senior time, partner effort, and funder relationship capital before the decline ever arrives.

Opportunity cost, not writing speed, is the real expense line.

Watch your AI grants team work

One grant record. Specialized agents. Work that moves forward.

The advantage is not a single chatbot doing everything. AutoGrant coordinates specialized agents around shared institutional context, so the output of one stage becomes the working input for the next.

Watch AutoGrant work

One grant record. Specialized agents. Select a stage to see the work.

Illustrative walkthrough · sample data

Specialized agents

AI Judge · Strategic Planner · Readiness Assessment

Decide what deserves pursuit before the writing starts.

Human checkpoint: a named person approves the pursuit decision before any drafting work begins.

AI Judge scorecard

Regional Youth Workforce Innovation Initiative

EligibilityConfirmed
Mission alignment91 / 100
Capacity fit72 / 100
Competitive position58 / 100

Verdict: Pursue with conditions. A no-go is a valuable outcome — it is the cheapest result the system can produce for you.

Shared institutional context — feeds every stage above

ProgramsEvidenceBudgetsPrior proposalsAward historyFunder relationshipsApprovals & policies

The category difference

Finding and writing are useful. Deciding and operating are the advantage.

Grant-dependent organizations rarely suffer from a shortage of possibilities. They struggle to determine which opportunities deserve scarce capacity, coordinate the work, and preserve what happens after submission.

Grant database

Shows what exists, then leaves your team to sort it.

Generic AI chat

Helps create text, but does not run the grant operation.

AutoGrant

Specialized agents share context and carry the work from decision through renewal.

Signature capability

AI Judge turns a possible opportunity into a defensible pursuit decision.

Before drafting begins, AutoGrant organizes the evidence, exposes missing information, names the risks, and shows the conditions a team should resolve before committing capacity.

  • Eligibility and threshold requirements
  • Mission and program alignment
  • Delivery and reporting capacity
  • Competitive position
  • Strategic value and opportunity cost
  • Evidence confidence and readiness conditions
AI Judge scorecardIllustrative scorecard — sample data

Regional Youth Workforce Innovation Initiative

Eligibility: Confirmed — Applicant type and geography meet the published criteria.

Mission alignment
91/100

The funder's youth-workforce priority maps directly to the organization's core program and outcomes.

Capacity fit
72/100

Delivery is credible, but quarterly reporting needs a named data owner.

Competitive position
58/100

Strong local partnerships, with a field likely to include larger prior grantees.

Strategic value
86/100

A win would establish evidence and funder history for a larger multi-year opportunity.

Verdict: Pursue with conditions

Proceed after confirming the data owner, strengthening the employer partnership, and documenting the required match.

AI Judge supports a defensible pursuit decision. It does not guarantee an award.

How AutoGrant and your team divide the work

AI handles the volume. People own the judgment.

AI researches, structures, drafts, checks, and coordinates. Named people retain program commitments, factual representations, budgets, relationships, exceptions, final review, and submission authorization.

Enablement, never replacement. Your team is the engine; AutoGrant is the leverage.

One connected operation

Discover. Decide. Build. Submit. Steward. Renew.

Each stage produces structured information the next stage can use, so the organization does not reconstruct the same knowledge from email, shared drives, spreadsheets, and individual memory every cycle.

  1. 01Discover

    Find public and relationship-driven opportunities aligned to mission, programs, geography, track record, and capacity.

  2. 02Decide

    Confirm eligibility, evaluate competitive fit, identify risks, and document the go/no-go rationale.

  3. 03Build

    Convert requirements into a plan, assign inputs, draft in the organization's voice, and review against the funder's criteria.

  4. 04Submit

    Assemble the complete package, verify requirements, and route final submission through explicit human approval.

  5. 05Steward

    Turn the award into obligations, owners, milestones, documentation, and reporting dates.

  6. 06Renew

    Preserve funder history, outcomes, reports, and lessons so the next application begins stronger.

It doesn't stop at the pursuit decision

Most tools help you find and apply. Grant operations continue long after submission.

Before the award

  • Discovery and prioritization
  • The pursuit decision
  • Requirements and work planning
  • Narrative and budget development
  • Quality review and submission readiness
  • Human approval

After the award

  • Award obligations and owners
  • Reporting dates and compliance
  • Budget monitoring
  • Funder relationship history
  • Outcomes and institutional learning
  • Renewal preparation

Choose the operating model

Enterprise leads the value story. The other ways to use AutoGrant remain.

Different organizations need different combinations of human support, hosting, configuration, and control. The underlying grant-operating discipline remains connected.

Flagship

AutoGrant Enterprise

Managed grant-operating capacity for complex organizations.

Combine specialized AutoGrant agents, named human oversight, organization-specific workflows, integrations, governance, and dedicated or customer-controlled deployment options.

Explore Enterprise

AutoGrant Platform

Hosted by AutoGrant. Run by your team.

A guided organization workspace for teams that want a governed grant workflow without deploying software in their own environment.

Explore Platform

AutoGrant for Consultants

A professional operating model for client grant work.

Preserve each client’s context, voice, evidence, approvals, and reporting history while standardizing repeatable work across a portfolio.

Explore the consultant model

Product evidence

Evaluate the work product, not just the promise.

AutoGrant is designed to produce inspectable decision and operating artifacts. The sample scorecard and walkthroughs are illustrative; live and anonymized product evidence will be added only when it can be shown accurately and with permission.

Requirements matrixIllustrative — sample data

Community Health Workforce Expansion — 47 requirements extracted

RequirementSourceOwnerStatus
Single Audit (2 CFR 200.501) for most recent fiscal year§ IV.B.3FinanceComplete
Letters of commitment from each named partner§ IV.B.7ProgramNot started
Non-federal match, 25% of total project cost§ III.BFinanceAt risk
Logic model with measurable outputs and outcomes§ IV.C.1ProgramIn progress
Data management plan covering participant records§ IV.C.4ITNot started
SAM.gov registration active through close date§ III.AFinanceComplete

Showing 6 of 47. Every requirement links back to the paragraph it came from.

Eligibility checkIllustrative — sample data

Ineligible — do not pursue

Applicants must be a unit of local government or a federally recognized tribe. A 501(c)(3) may participate only as a named subrecipient.

Found in § III.A, Eligible Applicants — flagged before drafting began.

What would change this

  • Apply as a subrecipient under the county health department.
  • Wait for the FY27 cycle, which opens the direct-applicant category.

Caught on day one. Roughly 60 hours of drafting not spent.

Human reviewIllustrative — sample data

Submission gate — approval required before anything is filed

  • Every factual claim traced to a source document· Program lead
  • Budget totals reconcile to the narrative· Finance
  • Match commitment confirmed in writing· Finance· outstanding
  • Voice matches the organization's prior submissions· Development

Blocked until a named person approves. AutoGrant does not submit on its own.

  • AI Judge scorecard

    A documented pursuit decision with eligibility, fit, readiness, competition, strategic value, risks, and required conditions.

  • Requirements matrix

    Every question, attachment, page limit, budget element, dependency, owner, and deadline extracted from the solicitation.

  • Funding roadmap

    A prioritized view of opportunities, readiness work, relationship actions, and expected application windows.

  • Human review record

    A visible record of who reviewed facts, narrative, budget, compliance, and final authorization.

  • Award-obligation calendar

    Reporting dates, deliverables, owners, outcome measures, financial requirements, and renewal milestones created from the award.

Need AutoGrant inside your environment?

For organizations with deeper governance, integration, or deployment requirements, Enterprise can support dedicated or customer-controlled architecture as part of a managed grant-operating model.

Explore Enterprise

FAQ

The three questions most teams ask first.

No. AutoGrant is designed to expand grant-operating capacity. Specialized agents carry research, structuring, drafting, checking, coordination, and tracking work. People retain strategy, program design, relationships, evidence, financial decisions, final review, and accountability.

Built with real grant teams

Early, active, and transparent about the evidence.

AutoGrant is in active early adoption. Organizations across nonprofit, healthcare, government, research, and innovation are using the system to build pipelines, evaluate opportunities, develop applications, and manage the work.

Grant outcomes arrive on funder timelines. We publish award results only after decisions are complete and customers approve the story. Until then, we prove the product through real workflows, real artifacts, transparent controls, and work you can evaluate before making a larger commitment.

See what a specialized AI grants team does with real work.

Start with one public opportunity, or explore the managed Enterprise model for organization-wide grant-operating capacity.