AI for Research Administration

Smarter workflows for your research office — from funder scan to final report

ForgeDocs gives your university research office a single workspace for pre-award proposals, ethics applications, post-award reporting, and institutional analytics — grounded in your knowledge, your funders, and your institutional policy.

Built for African research universities. Pre-loaded with 30+ funders relevant to your work. Deployable on-premise or in-region.

Win
Eligibility checks, grounded proposals, funder budgets
Approve
Faster ethics applications with built-in similarity checks
Report
Donor reports from grounded post-award data

Six focus areas of AI in research administration

Each focus area shows how a research office, ethics committee, or principal investigator would set up the workspace, add the right knowledge, and use Ask and Agent modes to move work forward.

Open your workspace
Pre-AwardView story →

AI-supported pre-award services

Each call for proposals opens as a workspace pre-loaded with the funder's templates and eligibility rules. Researchers and pre-award officers collaborate on the same draft, the system flags ineligibility before submission, and the final proposal is generated as a versioned Word + Excel budget pair.

Deliverables:
Eligibility verdicts citing the funder's own rulesConcept notes in the funder's required structureFull proposals (Word) with embedded budget references
Workspace: One workspace per call for proposals, pre-loaded with the funder's templates, scope, and budget rules from the Funder Library.
Knowledge: Institutional strategy, CVs and biosketches, prior winning proposals, indirect-cost rates, partner agreements, and the funder's published RFP and FAQ.
Ask mode: Run grounded eligibility checks, summarise the RFP, compare your concept to past winners, and stress-test the proposal against funder rules before submission.
Agent mode: Generate first-draft proposals, concept notes, budget XLSX with indirect costs, and accompanying narrative in the funder's required format — versioned every iteration.
Post-AwardView story →

AI-enabled post-award management

When a grant is awarded, the proposal workspace transitions to a post-award workspace. Milestones become trackable tasks with automated reminders. Progress reports are generated from grounded project data in the funder's preferred format, and every version is archived for audit.

Deliverables:
Quarterly and annual progress reports in donor templatesFinancial expenditure summaries (Excel)Variation / amendment requests
Workspace: The pre-award workspace transitions to post-award on signature — same files, plus a milestone tracker and reporting cadence.
Knowledge: Signed grant agreement, work plan, milestone schedule, partner contracts, financial reports, ethics approvals, and prior project communications.
Ask mode: Check progress against the work plan, summarise expenditure to date, identify compliance gaps, and pull anything the donor has asked about in past correspondence.
Agent mode: Draft progress reports, financial summaries, partner communications, and amendment requests in the funder's required template — versioned and stored alongside the project.
Ethics & IntegrityView story →

AI for ethics and research integrity

A researcher kicks off an ethics workspace pre-filled with the institution's IRB / EUREC application form. The AI drafts each section grounded in the linked proposal, runs a similarity check, and surfaces missing elements (consent forms, data plan, vulnerable-population sections). The committee secretariat triages, assigns reviewers, and tracks state — Submitted → Triage → Reviewer → Approved.

Deliverables:
IRB / EUREC application packagesConsent forms tailored to the study populationData-management plans aligned to institutional policy
Workspace: One workspace per ethics application, linked to the parent proposal so context flows without re-keying.
Knowledge: Institutional ethics policy, IRB / EUREC application templates, prior approved applications, consent-form templates, data-management plan templates, and national research regulator guidelines.
Ask mode: Screen the application for missing sections, compare against institutional policy, summarise reviewer concerns, and pull the exact policy clause that applies to a specific question.
Agent mode: Draft the ethics application, consent forms, data-management plan, and revision responses — and re-generate clean versions after each round of reviewer feedback.
AnalyticsView story →

AI-powered institutional analytics

Every workspace tagged by funder, faculty, and PI rolls up into the institutional dashboard. The DVC for Research opens a single view and sees the active grant pipeline, the funders with the best historical win rate, faculties with falling milestone health, and recommendations for where to focus pre-award support.

Deliverables:
Quarterly research-portfolio briefsFunder strategy memos for councilAnnual research-output reports for HEC / national regulator
Workspace: Cross-workspace analytics — no extra workspace needed. The grant + ethics + post-award workspaces are the source of truth.
Knowledge: Workspace metadata: PI, faculty, funder, status, value, deadlines, milestones, reports submitted.
Ask mode: Query the portfolio in plain language: 'show me grants over $500k that are behind on milestones,' 'which funders rejected the most concept notes this year,' or 'who in the Faculty of Agriculture hasn't submitted a proposal in 18 months.'
Agent mode: Generate quarterly research-output reports, funder strategy briefs for senate, and trend analyses for the Council on Higher Education — versioned and shareable.
Admin AutomationView story →

AI for administrative automation

The secretariat records ethics committee and pre-award meetings — transcripts and action items appear automatically in the right workspace. Emails to researchers (deadline reminders, revision requests, award notifications) are drafted in the institution's voice. Records are auto-sorted by proposal, project, or ethics-application workspace, and recurring forms (declarations, COI, indirect-cost certifications) are pre-filled from workspace context.

Deliverables:
Drafted email replies in the institution's voiceMeeting minutes with extracted action itemsPre-filled COI, indirect-cost, and disclosure forms
Workspace: A shared research-office workspace for the secretariat, plus action items routed into each grant or ethics workspace.
Knowledge: Institutional email style guide, prior correspondence with researchers and funders, standard operating procedures, meeting agendas, and signed forms.
Ask mode: Find every email about a specific grant, summarise last quarter's committee decisions, or pull the exact SOP that applies to a researcher's question.
Agent mode: Draft routine emails, generate meeting minutes with action items, auto-fill recurring forms, and produce SOP updates after process changes.
Researcher AIView story →

AI-supported researcher assistance

A PhD candidate uploads recent literature into their workspace and asks the assistant to map themes, identify gaps, and suggest a research question. They draft a concept note with Agent mode, iterate based on supervisor feedback, run a manuscript through editing for clarity, and use journal-match to shortlist credible venues — avoiding predatory ones.

Deliverables:
Literature-review sections grounded in uploaded papersManuscript drafts in target-journal styleSubmission cover letters and response-to-reviewer documents
Workspace: One workspace per project, paper, or literature review.
Knowledge: Field literature, prior drafts, supervisor feedback, manuscript guidelines, journal scope statements, and house style guide.
Ask mode: Map themes in uploaded literature, identify gaps, summarise long papers, find supporting quotes for an argument, and explain a methodology.
Agent mode: Draft concept notes, literature-review sections, manuscript sections in the target journal's style, and submission cover letters.

Built for the research office, not generic AI chat

ForgeDocs pairs grounded AI with the workflows your research office already runs — pre-award, ethics review, post-award reporting. Instead of switching between Outlook, Word, Excel, OneDrive, and a paper ethics file, your team lives in one workspace per grant.

Pre-award proposal studio

Funder Library, eligibility checks, proposal drafting, and budget XLSX generation grounded in the funder's own rulebook — one workspace per call for proposals.

Ethics & integrity workflow

Draft IRB / EUREC applications from study details, run similarity checks, surface missing consent or data-management sections, and track the approval state.

Post-award milestone tracking

Milestones, donor reports, and compliance evidence stay in the same workspace as the original proposal — no re-keying, no lost context.

Versioned audit trail for everything

Every proposal, report, and ethics revision is versioned. Reviewers see what changed; auditors see when and why.

What research offices use ForgeDocs for

  • AI proposal drafting grounded in the funder's RFP and your institutional strategy
  • Eligibility verdicts before researchers commit weeks to a dead-end application
  • Budget XLSX that follow funder rules — indirect costs, partner shares, restricted categories
  • IRB / EUREC ethics application drafting with built-in similarity and compliance checks
  • Donor-ready progress reports generated from grounded post-award data
  • Portfolio dashboards for the DVC (Research) — pipeline, win rates, milestone health

From call for proposals to submitted report

One workflow that carries a grant from the funder's RFP through to the final donor report — without leaving the workspace.

  1. Step 1

    Open a workspace for a call, grant, or ethics application

    Every proposal, awarded grant, and ethics application gets its own workspace so files, chats, decisions, and generated documents stay grouped.

  2. Step 2

    Pre-load funder rules, institutional policy, and the team's CVs

    The Funder Library, institutional research strategy, and reusable templates ground every answer the assistant gives and every document it drafts.

  3. Step 3

    Run an eligibility check or compliance screen

    Use Ask mode against the funder's rulebook or your institution's ethics policy before you commit weeks to a draft.

  4. Step 4

    Generate the proposal, budget, ethics form, or report

    Agent mode produces the deliverable in the funder's or committee's required format — Word narrative, Excel budget, and supporting PPTX.

  5. Step 5

    Iterate with reviewers and supervisors, version by version

    Each round of feedback becomes a new version. Lineage is preserved so the audit trail tells you what changed, when, and why.

  6. Step 6

    Submit, track milestones, generate progress reports

    Once submitted, the workspace becomes your post-award home — milestone reminders, donor reports, and compliance evidence all live together.

Why research offices choose ForgeDocs

Generic AI tools won't pass a donor audit, won't track an ethics application, and won't ground a proposal in your institution's strategy. ForgeDocs is built around the documents, deadlines, and decisions your research office actually owns.

Submit more grants, win more often

Eligibility screening, funder-specific templates, and grounded drafting raise the floor on every proposal that leaves the office.

Ethics approval cycles shrink

Applications arrive at the committee already screened for missing sections and similarity issues — fewer triage rejections, faster approvals.

Compliance and audit, not paperwork

Version history means every decision has a paper trail. Donor audits become a workspace export, not a six-week archaeology project.

Leadership sees the portfolio in real time

Because every grant lives as a workspace, the institutional dashboard builds itself — no annual roll-up exercise required.

Who in the institution gets value

Director of Research / DVC Research

A real-time portfolio view across every faculty, funder, and grant — without waiting for annual roll-ups from each department.

Pre-award officers and grant managers

Funder Library, eligibility checks, and proposal templates that mean less time re-keying donor rules and more time on quality review.

Ethics committee and secretariat

A real workflow from submitted application to approved verdict — with similarity checks and section-by-section compliance built in.

Principal investigators

A grounded research assistant for literature mapping, manuscript editing, and journal matching — alongside the proposal and ethics tools.

Roadmap

  1. Pre-Award + Ethics modules

    • Funder Library with 30+ curated funders
    • Proposal Studio (DOCX) and Budget Builder (XLSX)
    • Ethics application drafting + workflow tracking
    • Workspace-grounded chat for Ask + Agent modes
  2. Post-Award + Analytics

    • Milestone tracker with email reminders
    • Donor report templates per funder
    • Institutional grant-portfolio dashboard
  3. Self-hosted + integrations

    • On-premise deployment with your own LLM endpoint
    • SSO (SAML / OIDC) and role-based reviewer workflow
    • Plagiarism / similarity-check provider integration
    • Calendar + email integrations for committee secretariats

Frequently asked questions

What is ForgeDocs for research administration?

ForgeDocs is a workspace-based platform for university research offices. It supports the full lifecycle — pre-award proposal development, ethics applications, post-award reporting, and institutional analytics — with AI grounded in each workspace's knowledge.

Which funders are in the Funder Library?

30+ funders curated for African research universities: NIH Fogarty, Wellcome, Gates, Carnegie, Mellon; pan-African intermediaries like AAS, AERC, ARUA, AGNES, RUFORUM; bilateral donors (FCDO, SIDA, GIZ, NORAD, IDRC); EU calls (Horizon Europe, ERC, MSCA); and national funders (NACOSTI, NRF South Africa, TETFund, NRF Kenya, UNCST). Custom funders can be added per institution.

How does ForgeDocs help speed up the ethics approval cycle?

Researchers draft ethics applications grounded in your institution's IRB / EUREC template. The system flags missing sections (consent, data plan, vulnerable populations), runs a similarity check, and routes the application through a real workflow — Submitted → Triage → Reviewer → Approved — instead of email threads.

Is researcher and institutional data kept private?

Yes. Workspaces are isolated. The desktop edition keeps data local. The hosted edition supports your choice of LLM provider — Anthropic, OpenAI, Gemini, Azure OpenAI, Bedrock, or a self-hosted endpoint — and data residency in your region.

Can the platform be deployed on-premise for our university?

Yes. The Enterprise tier supports self-hosted deployment with your own LLM endpoint, SSO, and a dedicated success contact. Suitable for institutions with strict data-residency or research-integrity requirements.

How does institutional pricing work?

Pricing is per-institution, not per-seat. A pilot is free for the first six months in exchange for being a public reference customer. Annual licenses are tiered by institutional size and module mix.

Ready to bring AI to your research office?

Pilot is free for the first six months for reference-customer institutions. Talk to the team about deployment, funder library customisation, and the ethics workflow at your university.