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if (ph) ph.remove(); iframe.src = bSrc; ["data-blocked-src","data-consent-required"].forEach(function (a) { iframe.removeAttribute(a); }); iframe.classList.remove("optanon-blocked-iframe"); iframe.style.backgroundColor = ""; iframe.style.minHeight = ""; }); } // --- Dynamic iframe src interception --- var _origCreateElement = document.createElement; document.createElement = function (tag) { var el = _origCreateElement.call(document, tag); if (tag.toLowerCase() === "iframe") { var desc = Object.getOwnPropertyDescriptor(el, "src") || Object.getOwnPropertyDescriptor(HTMLIFrameElement.prototype, "src"); Object.defineProperty(el, "src", { get: function () { return this.getAttribute("src"); }, set: function (v) { var rule = matchRule(v, IFRAME_RULES); if (rule && !hasConsent(rule.groups)) { this.setAttribute("data-blocked-src", v); this.classList.add("optanon-blocked-iframe"); this.setAttribute("data-consent-required", rule.groups.join(",")); } else { desc.set.call(this, v); } }, configurable: true, }); 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document.querySelectorAll("img").forEach(blockPixel); } // --- Custom video click-to-load interception --- function interceptVideoButtons() { document.querySelectorAll(".js-video[data-video-url], .video[data-video-url]").forEach(function (container) { var videoUrl = container.getAttribute("data-video-url"); if (!videoUrl) return; var groups = /youtube\.com|youtu\.be/.test(videoUrl) ? 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document.addEventListener("DOMContentLoaded", function () { setTimeout(interceptVideoButtons, 100); }) : setTimeout(interceptVideoButtons, 100); setInterval(interceptVideoButtons, 2000); // --- Script blocking via DOM insertion hooks --- function handleScript(node) { var src = node.getAttribute("src") || ""; var rule = matchRule(src); if (!rule || hasConsent(rule.groups)) return; node.setAttribute("data-gated-src", src); node.type = "text/plain"; node.classList.add("optanon-blocked"); } ["appendChild", "insertBefore"].forEach(function (m) { var orig = Node.prototype[m]; Node.prototype[m] = function (child) { if (child && child.tagName === "SCRIPT") { try { handleScript(child); } catch (e) {} } return orig.apply(this, arguments); }; }); // --- Patch document.write / writeln --- function gateHtml(html) { return String(html).replace( /<script\b([^>]*?)\bsrc\s*=\s*(['"])([^'"]+)\2([^>]*)>(?:<\/script>)?/gi, function (_m, pre, q, src, post) { var rule = matchRule(src || ""); if (!rule || hasConsent(rule.groups)) return _m; var attrs = ((pre || "") + " src=" + q + src + q + (post || "")).replace(/\btype\s*=\s*(['"])[^'"]*\1/gi, ""); attrs += ' type="text/plain" class="optanon-blocked" data-gated-src="' + src.replace(/"/g, "&quot;") + '"'; return "\<script " + attrs + "\>\<\/script\>"; } ); } ["write", "writeln"].forEach(function (m) { var orig = document[m]; document[m] = function () { return orig.call(document, gateHtml(Array.prototype.join.call(arguments, ""))); }; }); // --- Cookie blocking --- var _origCookie = Object.getOwnPropertyDescriptor(Document.prototype, "cookie"); var _origPostMessage = window.postMessage; window.postMessage = function (msg, origin) { if (origin && origin.includes("youtube.com") && !hasConsent(["C0003"])) return; return _origPostMessage.apply(this, arguments); }; Object.defineProperty(Document.prototype, "cookie", { get: function () { return _origCookie.get.call(this); }, set: function (value) { var name = value.split("=")[0].trim(); if (name.startsWith("OptAnon")) return _origCookie.set.call(this, value); if (name === "__cf_bm" || name === "_cf_bm") return _origCookie.set.call(this, value); // Allow VWO cookies — consent managed by VWO's built-in feature if (name.startsWith("_vis_opt") || name.startsWith("_vwo")) return _origCookie.set.call(this, value); for (var cat in cookiePatterns) { if (!hasConsent([cat])) { for (var i = 0; i < cookiePatterns[cat].length; i++) if (cookiePatterns[cat][i].test(name)) return; } } return _origCookie.set.call(this, value); }, configurable: true, }); // --- Storylane consent notify --- function notifyStorylaneConsent() { if (!hasConsent(["C0003"])) return; document.querySelectorAll("iframe[name='sl-embed']").forEach(function (sl) { try { sl.contentWindow && sl.contentWindow.postMessage({ message: "storylane-cookie-consent" }, "*"); } catch (e) {} }); } // --- Consent change handler --- window.addEventListener("OneTrustGroupsUpdated", function () { restoreAllEligible(); restoreBlockedIframes(); restoreBlockedVideos(); recheckVideoButtons(); notifyStorylaneConsent(); }); document.querySelectorAll("script[src]").forEach(function (n) { try { handleScript(n); } catch (e) {} }); restoreAllEligible(); notifyStorylaneConsent(); // --- Munchkin stub --- if (!window.Munchkin) { var MK = function () {}; MK.__otStub = true; MK.__q = []; MK.init = function () { MK.__q.push(["init", Array.prototype.slice.call(arguments)]); }; window.Munchkin = MK; } })(); function OptanonWrapper() { } </script> <!-- OneTrust Cookies Consent Notice end for lightyear.cloud --> Trustworthy AI AP Automation | Trusting the Numbers Live Webinar
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Panel webinar

Trusting The Numbers: AI’s place in the finance function

9th December 2026 · 11.30am GMT · 45 minutes · Live online

Trustworthy AI AP automation starts with clean data, clear governance and people who stay in charge of the final call. Join us for a jam-packed session on how finance leaders are using AI with confidence.

We’ll cover:

  • Why clean data is the secret sauce for reliable answers
  • Picking the right tool for the right job
  • Where human judgement shines
  • Scaling AI with the right guardrails
Save your spot

Meet The Panellists

Bernie Simpson

Chartered Accountant at Windmill NI 

Bernie has spent 30+ years operating the finance team of one of Northern Ireland’s largest food chains, Windmill NI (Burger King). In 2018, Bernie began automating parts of the finance function, including repetitive accounts payable tasks, which led her to Lightyear. Since then, Bernie has become a regular user of AI, both within Lightyear and other integrated tools. Her experience in board-level reporting and finance operational management makes her a valued speaker on this topic.

Tim Chilestone

Director at TCS Guernsey

Tim runs bookkeeping practices in Guernsey and the UK, working within two regulatory frameworks every day. He builds and uses AI tools in his own firm, with a clear view that the right tool for the right job, and a person confirming the final step, is what makes AI trustworthy.

Kasia Machalinski

Founder and CEO at Prevail Accounting

Kasia acts as a business partner rather than a traditional accountant, looking at how a business runs day-to-day, improving its processes, and building the strategy, cash flow forecasts, and real-time, accurate data that leaders need to make decisions. With 20 years in finance, Kasia brings a practical view of what sound financial control looks like before any new tool is introduced. 

Topics we’ll explore

Clean data, reliable answers

AI works from what it's given. Learn how clean, well-structured data and the right context set you up for trustworthy results.

The right tool for the right job

Discover where and when to use deterministic vs probabilistic AI tools, and how this will affect your output and costs.

Build or buy, and where people fit

Learn when a human should make the final call, why strategy beats experiments, and how clear roles and permissions keep the numbers reliable.

Scaling AI with confidence

See how to grow AI use across the team while keeping it under control, with the right guardrails, training and data protection in place.

AI governance in accounts payable: scale with control

Strong AI governance in accounts payable gives every team member a clear role. It covers who can use AI, what data goes into the tools, where that data is held and who signs off before anything is posted. Put those pieces in place early, and you can grow with AI in your finance function confidently.

In this session, you'll hear how to put that governance into practice.

Save your spot

Register now

Submit your questions ahead of the session here!

GDPR Statement

By registering, you are consenting for Lightyear to contact you about the webinar and after. You may unsubscribe from these communications at any time and amend your data usage preferences. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, please review our Privacy Policy.

FAQs

Can I trust AI with invoice processing?

Yes, you can, and the teams doing it well share three habits:

  • They start with clean data. AI produces stronger results when the invoice data going in is complete, consistent and well-structured.
  • They choose the right tool for the job. Purpose-built AI, used for a specific task, gives more dependable answers than a general chatbot.
  • They keep human review at the final step. A team member reviews and confirms each decision before anything is posted.

Who should attend this webinar?

Finance leaders, AP managers and anyone responsible for how AI is used in finance, from strategy to day-to-day work.

When and where is it?

12th December 2026 at 11.30 am GMT, live online via Trainer Central. The session runs for 45 minutes. Once you register, you will receive a joining link (check your junk!). You will also receive reminder emails in the lead-up to the event.

Will I get a recording?

Yes, a recording will be sent to all registrants after the event takes place.

Can I submit questions before the event?

We’d love you to! You can submit your questions here, and our panellists will pick them up at the end of the webinar. We keep your questions anonymous.

How is AI being used in accounting to automate accounting tasks?

AI is automating a lot of the repetitive manual tasks like data input, and coding. These tasks require limited business context and can be set up to deliver deterministic outcomes based on rules and guardrails.

What is the best software for accounts payable automation?

The best software will depend on your specific business needs, however a solution with core features like AI data extraction, automated bookkeeping, discrepancy flagging, multi-tiered approvals, and reporting is a great place to start. Other things to consider are support services, hidden costs for users or entities, and integration requirements. Lightyear’s AP automation platform does all of this and more.