Are You Still Outsourcing Processes in an Age of AI?

Business Process Outsourcing used to be the answer. Today, it’s an anchor holding businesses back—generating hidden costs, quality issues, and a slow leak of critical process knowledge. In a world moving at AI speed, that model simply can’t keep up.

Agentic AI changes the game. It learns your processes, executes them flawlessly, and never forgets—while AI oversight layers keep everything controlled, transparent, and continuously improving. The result? A faster, smarter, more resilient operation where your people focus on what actually drives value. At Invigors, we help you break free from the old playbook and build the foundation for a truly modern, AI‑enabled back office.

The go-to solution to costly labour-intensive processes in the 2000’s and 2010’s was to find a reputable outsourcing partner and shift the processes to low-payroll countries where repetitive processes could be managed by the top-tier BPO (Business Process Outsourcing) providers. Many BPOs provided very successful back-office support for service businesses.

But the cost-savings were rarely as high as promised. The cost of supervision, the loss of process knowledge in the business, the controls and the cost of retraining teams when the inevitable high turnover occurred reduced the expected benefits.¹

An outsourcing project would often kick off with an HQ led review of “low value-add processes”, which would be assessed for headcount numbers and a simple salary arbitrage calculation performed between expensive local resources and the same resources in a low-cost country. The project would involve detailed process documentation, settings of KPIs and targets, identification of key risks and controls, monitoring and higher-level oversight through process boards, and then a rigorous transition process to the BPO. These are all familiar to business that have successfully outsourced back-office processes.

What was expected from the BPO unit was tight adherence to the described processes, speed, rigour and control, and ultimately cost savings. In the best of cases the BPO firm managed all of that and offered feedback that helped simplify and improve processes and enabled transaction volume growth without staff increases.

To optimise its own bottom line the BPO firm typically aimed to use as little resource as possible in delivering the service. Pressurising the resources operating the processes for speed, providing minimum reporting of performance, escalating anything foreseen by the detailed process descriptions back into the local business owners.  Challenges of language, communications and distance added to the complexity, and generated rework, waste and loss of quality. This resulted in the business gradually losing the knowledge and experience that allowed them to understand the details of the process and therefore the control of the risks of the business. Goal alignment between the business and the BPO was rarely successful. This became even more complicated when regulators and compliance added layers of control and review to processes.

At Invigors we believe that all of those aims are better solutioned and aligned by Agentic AI tools, managed and controlled by the business itself. The AI tools can be taught processes and don’t forget them, can solve difficult questions and track items that need follow-up, learning from these to improve the processes. The cost of control of these processes can be minimised by adding second-level AI agents which monitor the process agents, to report, control and verify.

As an example we saw recently, a business had outsourced to a top-tier BPO its matching of payments & receipts from bank statements versus the open operational transactions. This process is high-volume and time-critical, as failed payments need notifying immediately to client relations or collections teams. The BPO teaps could offer 90-95% manual or semi-automated matching, and daily reporting. This was reasonable (but  resource intensive)  and would regularly fail if key BPO resource was sick, resigned or was promoted to other roles, at which point matching fell to 50%, and backlogs started building up. Given the volumes, backlogs generated their own momentum, and could take many months to recover from, with a significant surge resource spend.

Implemented by process experts who understand the business logic and the key controls, Agentic AI tool can eliminate the resource variability: the processes are already documented, and the key control metrics exist. So an AI tool can learn to perform the same tasks in a repeatable & controlled manner. The open-source LLM(s) can be implemented within the business’s infrastructure, to maintain data confidentiality (you may to choose to use different models to run the process & to control it). This focuses the local experienced process owners on more complex items, overall process control and on driving quality and performance, ensuring knowledge is retained and allowing local resources to grow and develop their skills.²

In the leasing world, Invigors teams have lived with the processes as operations and finance managers and executives and have a long experience of process improvement. We have a dedicated AI team who can support you in prioritising AI-led process automation achieving rapid return on investment – targeting over the long term what has been called a “zero back office”, where business can focus more on growth of its top line than its internal factories.

References:

• McKinsey (2025). ‘Superagency in the workplace’.
• Stanford HAI (2025). ‘AI Index Report 2025’.
• Axios (2025) reporting MIT: ‘AI is already replacing offshore jobs…’.
• BusinessFindly (2025): ‘The Hidden Costs of Outsourcing…’.

[1] Some figures from the public sources

• 29% of outsourcing inefficiencies stem from poor communication/coordination. Rework costs can reach 20–30% of total project value.
• Management overhead increases 25–30% when coordinating vendors.
• Budget overruns of 15–40% are common due to scope creep.              Sources: McKinsey (2023); Deloitte Global Outsourcing Survey (2024)

[2] MIT State of AI in Business 2025 (via Axios): disruption predominantly replacing offshore outsourced workers. Shift aligns with firms reducing coordination friction and protecting knowledge. Source: MIT ‘State of AI in Business 2025’ (reported by Axios).