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      <video:title>Why buying an AI agent doesn't get you a working one</video:title>
      <video:description>The license is the smallest number on the invoice.

Cost has four parts: software, build, integration, and the upkeep that never ends. Most quotes cover the first one, which is why an agent that worked for six months can stop in the seventh and nobody writes it down. More than four in ten agent projects will be scrapped by 2027, and the reasons given are cost, unproven value and weak controls, not model capability. So ask the question that reprices the whole contract: when an integration breaks, who rebuilds the agent, and who pays for it.

From working with AI, to AI that works for you.</video:description>
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    <lastmod>2026-10-06T06:54:51.593Z</lastmod>
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      <video:title>Why AI agents fail quietly (and the 95/5 split that stops it)</video:title>
      <video:description>Most AI agents do not fail loudly. They keep running, quietly do the wrong thing, and nobody goes looking.

Every agent Uplift builds is about 95% code and 5% AI. Code takes every step that has one right answer; AI gets only the steps that need judgment. This short explainer shows why that split matters, with one everyday job: a supplier emails to say a delivery will be late. Two teams automate it, one with rules and one with an agent. The difference is not rules versus AI. It is when the thinking happens.</video:description>
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      <video:publication_date>2026-09-29T09:08:42Z</video:publication_date>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/AsqEOrHM0kE/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Document workflow automation dies in the exception queue</video:title>
      <video:description>Reading the document was never the work. The work is what happens to the documents that don't go through clean.

Most document workflow automation buys a tool that reads the file and calls that the workflow. Reading is two of the seven stages a document has to survive; the other five, validation, routing, action and the exceptions, stay with people. This short explainer follows one supplier invoice whose quantity doesn't match the purchase order: with a typical tool it is read perfectly and then dropped into an exception queue, where a controller emails the supplier, digs out the contract and re-explains it all to the approver. Ardent Partners' 2025 benchmark puts the cost of that queue at 9% exceptions for the best teams against 22% for everyone else, and 3.1 days per document against 17.4. Uplift carries the same invoice through all seven stages: it checks the quantity against the PO and the contract, asks the supplier for the correction, and sends the approver one message with everything in it.</video:description>
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      <video:title>An autonomous AI agent runs on a dial, not a switch</video:title>
      <video:description>An autonomous AI agent is not a switch you flip on. It is a dial, and where you set it decides whether a mistake gets caught or paid.

At one end of the dial an agent asks before every move; at the other it acts and only tells you afterwards. Same software, two different products. This short explainer runs one everyday job, matching supplier invoices to purchase orders, at the wrong setting: one invoice comes in at the wrong amount, the agent logs it and moves on, and three weeks later it has been paid. Then the same job the way Uplift sets it: by how reversible the mistake is, so the agent proposes the match and a person signs off before anything posts.</video:description>
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      <video:publication_date>2026-10-04T20:21:10Z</video:publication_date>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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    <loc>https://getuplift.ai/blog/ai-automation-consulting</loc>
    <lastmod>2026-10-06T06:54:38.371Z</lastmod>
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    <lastmod>2026-10-06T06:54:35.769Z</lastmod>
    <priority>0.8</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/9QyZNQhDzAI/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Why 95% of a business process should be code, not AI</video:title>
      <video:description>Most business processes are held together by a person copying between two systems. Here is what to build instead.

The average company runs 957 apps and only 27% of them talk to each other, so the gap is filled by a person. Take one customer email: one person reads and routes it, a second reads it again to answer, and the customer is still waiting. Uplift builds the same job as code steps that match the sender, pull the history and route the email at the same speed on email 400. AI handles only the one step with no single right answer, working out what an unclear message means. That is the 95% code, 5% AI split behind every agent Uplift builds.</video:description>
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      <video:duration>91</video:duration>
      <video:publication_date>2026-10-05T00:00:00Z</video:publication_date>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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    <loc>https://getuplift.ai/blog/workflow-automation-for-small-business</loc>
    <lastmod>2026-10-06T06:54:33.111Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/lindy-ai-alternative</loc>
    <lastmod>2026-10-06T06:54:30.510Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/automation-examples-in-real-life</loc>
    <lastmod>2026-10-06T06:54:27.927Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/ai-agent-for-customer-service</loc>
    <lastmod>2026-10-06T06:54:25.226Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/power-automate-alternative</loc>
    <lastmod>2026-10-06T06:54:22.522Z</lastmod>
    <priority>0.8</priority>
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    <lastmod>2026-10-06T06:54:19.941Z</lastmod>
    <priority>0.8</priority>
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      <video:title>AI for Accounting That Proves Who Approved It</video:title>
      <video:description>AI for accounting already works. The real test is whether it can prove who approved it six months later.

Finance teams have moved fast on AI for accounting: it reads invoices, drafts journal entries, and matches records well. But adoption has stalled, and the reason isn't the model. It's that a bought AI tool can draft and get a click approved, with nothing recording who approved it or what the AI actually saw. Six months later, when an auditor asks about that entry, someone is rebuilding the trail from screenshots and memory. This film walks through the same audit request handled two ways, and why the agent that keeps running is the one that records every approval as the work happens, not after.</video:description>
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      <video:publication_date>2026-10-04T14:20:36Z</video:publication_date>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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    <lastmod>2026-10-06T06:54:17.259Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/n8n-alternative-for-operational-teams</loc>
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    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/waterfall-lead-enrichment-workflow</loc>
    <lastmod>2026-10-06T06:54:04.263Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/how-to-build-ai-agents-without-coding</loc>
    <lastmod>2026-10-06T06:54:01.706Z</lastmod>
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    <loc>https://getuplift.ai/blog/clay-alternative-automated-lead-enrichment</loc>
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    <priority>0.8</priority>
  </url>
  <url>
    <loc>https://getuplift.ai/blog/best-accounts-payable-automation-software</loc>
    <lastmod>2026-10-06T06:53:56.666Z</lastmod>
    <priority>0.8</priority>
  </url>
  <url>
    <loc>https://getuplift.ai/blog/sales-ops-automated-lead-enrichment</loc>
    <lastmod>2026-10-06T06:53:54.039Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/make-com-alternatives-no-code</loc>
    <lastmod>2026-10-06T06:53:48.701Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/revops-ai-workflow-automation</loc>
    <lastmod>2026-10-06T06:53:46.183Z</lastmod>
    <priority>0.8</priority>
  </url>
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    <loc>https://getuplift.ai/blog/stop-manual-data-entry-between-apps</loc>
    <lastmod>2026-10-06T06:53:40.940Z</lastmod>
    <priority>0.8</priority>
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    <loc>https://getuplift.ai/blog/automated-pdf-invoice-processing-saas</loc>
    <lastmod>2026-10-06T06:53:43.498Z</lastmod>
    <priority>0.8</priority>
  </url>
  <url>
    <loc>https://getuplift.ai/blog/best-ai-agent-platforms-2026</loc>
    <lastmod>2026-10-06T06:53:38.448Z</lastmod>
    <priority>0.8</priority>
  </url>
  <url>
    <loc>https://getuplift.ai/blog/no-code-ai-agent-builder</loc>
    <lastmod>2026-10-06T06:53:35.768Z</lastmod>
    <priority>0.8</priority>
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  <url>
    <loc>https://getuplift.ai/blog/ai-email-responder-human-in-the-loop</loc>
    <lastmod>2026-10-06T15:37:50.861Z</lastmod>
    <priority>0.8</priority>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/29CL0aoGWAg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Why an AI email responder needs a human in the loop</video:title>
      <video:description>When your AI sends an email, your company sent it. A tribunal has already ruled that way.

Air Canada's chatbot promised a passenger a discount that didn't exist, and the airline argued the chatbot was a separate entity. The tribunal disagreed, and what the chatbot said became the airline's obligation. An AI email responder that sends on its own can make the same kind of promise in your name. With a human in the loop, the AI drafts, the draft waits in a queue next to your real policy, and a person approves it before it goes out.</video:description>
      <video:player_loc>https://www.youtube-nocookie.com/embed/29CL0aoGWAg</video:player_loc>
      <video:duration>89</video:duration>
      <video:publication_date>2026-10-06T15:22:29Z</video:publication_date>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
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    <loc>https://getuplift.ai/blog/generative-engine-optimization-tool</loc>
    <lastmod>2026-10-06T06:53:30.457Z</lastmod>
    <priority>0.8</priority>
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  <url>
    <loc>https://getuplift.ai/blog/how-to-automate-copy-paste-tasks</loc>
    <lastmod>2026-10-06T06:53:24.971Z</lastmod>
    <priority>0.8</priority>
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  <url>
    <loc>https://getuplift.ai/blog/zapier-alternatives-for-complex-workflows</loc>
    <lastmod>2026-10-06T06:53:27.816Z</lastmod>
    <priority>0.8</priority>
  </url>
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      <video:description>Klarna's AI agent did the work of 700 people. The part nobody quotes is what happened next.

Klarna's agent handled 2.3 million chats in its first month, then the company rebalanced toward a mix of AI and people. That was tuning, not failure. An agent nobody keeps tuning is on its way to being canceled, which is why more than 40% of agentic AI projects are expected to be canceled by 2027. Uplift builds agents the other way: one narrow job, a person where the risk is, and someone keeping it running. A refund question shows the difference.</video:description>
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