Still hunting the approved version?

Find it. Cite it. Sign off.

A private library per client. Search past ITT answers, method statements, and case studies — get a cited passage, and nothing leaves until you say so.

Past answers are hard to put back to use

Policies, case studies, and last framework responses live across SharePoint, Drive, and last year's zips — and under a live deadline, finding the approved version can take longer than writing the response.

The approved-version hunt

Under deadline, which policy or case study is the signed-off copy is often unclear. Searching folders and email interrupts drafting.

The bid library that never makes the list

Keeping content sharp is valuable — and it drops to the bottom when deadlines loom. Winners and losers sit in the same loft until it costs a bid.

AI that invents the experience

Accuracy is still the worry when AI helps on a live bid — unreviewed prose and facts nobody sourced. One invented case study is reputation damage.

Your answers, in a library you control

Gather that client's past answers in one place. Search and cite them on the next similar ITT — and check every line before it reaches a portal.

Find the signed-off copy

Search uploaded answers and case studies in plain language, with a link back to the file each piece came from.

Owner, review date, named check

Mark blocks so mixed winners and losers stop looking current. It will not do the unpaid library pass.

Nothing leaves until you say so

Drafts pull only from that client's files, cite the source, and pause for your review before anything is treated as final.

What changes when the library is yours

A per-client library — search and cite past answers, draft from those files, and sign off before anything leaves.

One library per client

Past answers, case studies, method statements, and policies — stored in separate workspaces per client so one bidder's files stay with that bidder.

Workspaces docs →

Find the approved version

Ask in plain language across that client's uploaded files and get a cited passage — so you open the signed-off copy instead of guessing SharePoint.

Search docs →

Your method, every time

How you draft and check — defined once, then followed each time you run the same steps on a familiar ITT.

AI agents docs →

Same steps on the next ITT

A repeatable sequence — find past work, draft a section, save for review — you can run again when the next similar tender lands.

Workflows docs →

You sign off before it leaves

Every run can pause for your review before a draft is final — so AI-assisted text is checked by you, not sent automatically.

Approval docs →

Client files stay on your box

When shared cloud is not enough, run Personal on your own server, or a private Dedicated / Enterprise instance — sized for how your practice needs custody.

Self-hosted docs →

Where your answers live today

Past winning responses, method statements, and case studies accumulate over years — often across more than one place — so a familiar ITT can still mean hunting the approved version by hand.

Past answers, scattered

Winning responses, method statements, and evidence sit in client SharePoints, email zips, and last year's submissions — with no single place that ties a bid together.

Live ITT, version hunt

When a new ITT looks familiar, the next step is locating that approved answer, the case study, and the social-value block — then adapting names and dates by hand.

Library work that never makes the list

Review dates and retiring losers are valuable — and they wait for a lull that rarely comes, so winners and losers stay in the same loft.

See it in a few minutes

From a past winning answer to a reviewed draft — without starting from scratch.

Watch the full demo on YouTube →

Draft the next section from past winning answers

Upload past answers and notes, run a reusable drafting flow for a new ITT, and review the output before it reaches a portal.

Workflows docs →

You stay in control

Nothing leaves without your review. Check the draft, compare it to the original, and edit before it reaches a portal.

Workflows docs →

Grounded in your files

Drafts pull from your uploaded answers and case studies. Sources are shown so you can verify wording before you rely on them.

Search docs →

Frequently Asked Questions

Common questions about finding approved bid answers, signing off before they leave, and keeping client files under your control.

What is A1KnowHow?

A1KnowHow is a private per-client library for bid consultancies. Upload past answers, case studies, and method statements, search and cite them, draft the next section from those files, and sign off before anything leaves.

How does this help on a live ITT?

When a new ITT looks familiar, you search that client's library for the approved version of a past answer or case study, draft a section grounded in those files, and pause for your review before the text reaches a portal.

What types of documents can I upload?

PDFs, Word documents, text files, and more. Past winning answers, method statements, case studies, policies, and framework responses are a good place to start.

Is A1KnowHow a fit for bid consultancies or freelance Bid Managers?

Yes. It is aimed at UK bid practices of about 1–10 people — Founders, Managing Directors, and Bid Managers who still write or run bids — and freelancers who reuse past answers under deadline.

Can I check what we submitted last time?

Yes. Upload the previous response to that client's workspace and search it — for example, which case study or method statement went into the last framework. Answers cite the source document so you can verify before you reuse it.

Why not Tender Library?

Keep Tender Library for Q&A and pipeline if you already pay for it. A1KnowHow sits alongside: a private writing library on the same corpus, with search, citations, and a named check before anything leaves. We are not a cheaper Tender Library and we do not replace opportunity alerts.

Why not ChatGPT or Claude Projects?

Chat can draft fast, but every run is a fresh guess — you re-prompt search, drafting, and checks. A1KnowHow keeps a per-client library and runs your proven workflow the same way each time: find past answers, draft from those files, then pause for your sign-off.

Will AI invent past performance?

Drafts pull from your uploaded answers and case studies first, with citations so you can verify. Nothing is treated as final until you sign off. We do not claim zero hallucinations — grounding only works if that client's library is ingested and current.

Is there a free trial?

Yes — 14 days on Cloud, no credit card. Fair-use limits apply so you can upload a client library, search with citations, and try a workflow. After the trial you can stay on shared Cloud (£29/month) for standard use, or move to Dedicated Cloud (£59/month) for a private instance.

What happens after the trial?

Continue on Cloud at £29/month for standard use on shared SaaS, or switch to Dedicated Cloud at £59/month when you want a private server for your practice. Self-hosted Personal stays free if you run the software yourself.

How can I get help or support?

We offer documentation and support resources. You can access our help center, documentation, or contact our support team if you need assistance getting started or have any questions.

How do I know drafts are grounded in my files?

Workflows retrieve from your workspaces and documents first. Sources are shown with answers and drafts so you can verify wording before you reuse anything in a live bid.

Is my client data kept private?

Your documents stay in your account and workspaces on A1KnowHow Cloud (shared SaaS for standard use). If clients or SC / clearance work need stricter custody — dedicated infrastructure, no shared environment with other firms, or contractual control over where data is processed — choose Dedicated Cloud (£59/month private instance) or run Self-hosted Personal on your own servers. We do not replace your clearance process. See the privacy policy and self-hosted docs for details.

What are workflows and step templates?

Workflows are repeatable drafting flows you run when you need them. Step templates help you set one up faster — pick a starting point (for example, find past work, draft a section, save for review, or pause for your sign-off), fill in a short form, and refine from there.

What is MCP and why would I use it?

MCP is a shared way for AI agents to connect to other systems — so they can reach tools you already use (CRM, ticketing, and the like) instead of living only in a chat window. In A1KnowHow, those connections sit inside your workflow the same way document and search steps do — useful when a run needs to pull data or take an action elsewhere.

Can I use my own AI models?

Yes. You can point A1KnowHow at models you control — for example ones running on your own server, or a managed cloud provider your plan supports. That helps when clients need AI under your custody rules. The docs cover the options for each edition.

Is there a self-hosted option?

Yes. Self-hosted Personal is free for personal use on servers you control. For a private instance we run, choose Dedicated Cloud. Need on-premises scale or a written SLA? Contact us. Cloud and self-hosted work the same way: find, draft, and sign off.

Is it open source?

No. A1KnowHow is not open source today. We may release a community edition in the future.

Simple pricing for your practice

Start on shared Cloud for standard use, or run a private Dedicated instance when custody matters. Self-host stays free below.

Cloud plans

Try Cloud free, then stay on shared SaaS or move to a private Dedicated server.

Cloud

£29 /month

14-day free trial, then billed monthly

Shared cloud for standard use — workspaces, search, and workflows without running your own server.

  • Shared cloud for standard use
  • Per-account subscription after trial (no per-seat fee today)
  • Fair-use limits on AI tokens, embeddings, and document processing
  • Semantic search with citations
  • Workflows with templates and human approvals
  • Workspaces and document upload
  • Agents and skills
  • Managed LLM access
  • No infrastructure setup required
  • Invite teammates to your account
  • 14-day free trial, no credit card required
Start free trial

14-day free trial, no credit card required. Fair-use limits apply. Then £29/month on shared Cloud.

Recommended

Dedicated Cloud

£59 /month

Private instance we run for you

A private server for your practice when shared cloud is not enough — client files stay on your instance.

  • One private VM for your practice
  • Per-account subscription (no per-seat fee today)
  • Hard monthly caps on processing and AI (prefer your own LLM keys)
  • Semantic search with citations
  • Workflows with templates and human approvals
  • Workspaces and document upload
  • Agents and skills
  • Stronger isolation than shared Cloud
  • Best-effort support during business hours
Get Dedicated

£59/month for a private instance. We will confirm capacity and set you up — Stripe checkout coming soon.

Self-hosted Personal

Run A1KnowHow on your own infrastructure — free for personal use (1 account, max 2 people). Full custody of client files on machines you control.

Self-hosted docs

Need on-premises deployment, multi-department scale, or a written SLA? Contact us. Contact us

Ready to stop hunting for the approved version?

Upload a past winning response — free for 14 days, no credit card required.

Start Free Trial