For decades, outsourcing decisions were commonly framed as a choice between two operating models: keep a function in-house or transfer it to an outside provider.

That distinction is becoming less useful.

Businesses can now organize work across internal employees, outside specialists, professional-service firms, business process outsourcing providers, managed services, software platforms, automation, and Ai. A single business function can combine several of these resources at the same time.

The result is not necessarily more outsourcing or more insourcing. It is a more flexible approach to deciding what work belongs where, who should perform it, and who remains accountable for the outcome.

Deloitte’s 2024 Global Outsourcing Survey illustrates the shift. Among more than 500 executives surveyed globally, 70% reported selectively bringing previously outsourced work back in-house during the preceding five years, while 80% planned to maintain or increase investment in third-party outsourcing. Deloitte describes the broader emerging environment as multidimensional sourcing: combining retained internal organizations, outsourcing partners, internal capability centers, and digital labor.

The future of BPO, therefore, may be defined less by how much work a company outsources and more by how effectively it combines internal ownership, external expertise, managed services, technology, automation, and Ai into one accountable operating model.

What BPO Is Becoming

Traditional business process outsourcing frequently centered on labor availability, labor-cost differences, transaction volumes, staffing levels, and service-level agreements.

Those factors still matter. Cost has not disappeared from the outsourcing equation, nor has conventional process outsourcing become obsolete.

What is changing is the range of objectives businesses can pursue through external service relationships.

Organizations increasingly use outside providers to gain specialized expertise, additional capacity, technology, process maturity, scalability, and other capabilities in addition to labor efficiency. Deloitte identifies skilled talent and agility alongside cost reduction as key outsourcing drivers. Bain’s survey of 200 technology executives likewise found continued outsourcing for reasons including capability gaps and quality, although more than half still identified cost reduction and efficiency among their leading objectives.

Commercial structures are evolving as well. In Deloitte’s multidimensional-workforce research, 67% of surveyed organizations reported adopting outcome-based outsourcing models that emphasize measurable results and innovation.

Rather than evaluating a provider only by staffing, transaction volume, response time, or hours worked, an outcome-oriented relationship can place greater emphasis on what the service actually accomplishes.

Managed services are expanding this model further by combining specialized personnel with technology, automation, platforms, and continuing operational responsibility. KPMG’s 2026 Managed Services Outlook describes modern managed services as increasingly distinct from conventional outsourcing, with Ai acceleration helping drive the difference. Its survey population consisted entirely of organizations above $100 million in revenue, so these findings indicate an enterprise direction rather than an adoption rate that should be generalized to smaller companies.

Traditional outsourcing has not disappeared.

It has become one option within a much broader service-delivery spectrum.

What Is a Hybrid Outsourcing Model?

A hybrid outsourcing model deliberately distributes work among internal employees, outside specialists or service providers, technology platforms, automation, and Ai while maintaining clearly defined internal ownership, decision rights, standards, governance, and accountability.

Simply having employees and vendors at the same time does not create a well-designed hybrid model.

The distinction is intentional design.

A business may retain responsibility for a process without requiring its employees to perform every activity within that process. It can retain strategy, relationships, standards, approvals, institutional knowledge, and final authority while allowing outside specialists or digital systems to execute defined portions of the work.

This leads to one of the most important principles of hybrid outsourcing:

Ownership of the outcome is not the same as execution of the work.

A company can distribute execution without surrendering control.

Why the In-House vs. Outsourced Binary Breaks Down

Fully internal operations provide direct control and organizational context, but maintaining every capability internally can create practical constraints.

A company may need specialized expertise only periodically. Demand may fluctuate. Technology may require investment and skills that are inefficient to maintain for occasional use. Internal managers can also find themselves responsible for specialized functions far removed from their strongest capabilities.

External resources can address some of those problems, but poorly designed outsourcing introduces different risks.

Institutional knowledge can migrate outside the organization. Vendors can become difficult to replace. Communication can fragment across companies and systems. Service levels may measure activity without adequately measuring business performance. Internal teams may assume an outside provider “owns” a problem that management ultimately remains responsible for solving.

Bain recommends identifying the differentiated “crown jewel” capabilities that underpin business strategy and keeping those capabilities in-house. It also recommends retaining enough internal expertise to manage providers effectively, defining responsibilities clearly, measuring providers with the buyer’s metrics, and preserving institutional knowledge to reduce vendor lock-in.

The objective, then, is not to choose a universally superior side.

It is to determine how each component of the work should be allocated.

The New Service-Delivery Spectrum

Internal Teams

Employees directly perform and manage the work.

Internal delivery can be especially important where responsibilities depend heavily on strategy, proprietary knowledge, critical relationships, institutional context, or decision authority.

Staff Augmentation

External personnel add capacity or specialized skill while the company continues to direct the work.

The business retains operational management while expanding its ability to execute.

Fractional or Embedded Expertise

Experienced external professionals provide recurring capability without requiring a full-time internal position.

Examples can include fractional financial, marketing, technology, human-resources, or operations leadership.

Project-Based Professional Services

Consultants, agencies, developers, implementation teams, and other specialists deliver defined initiatives, transformations, or outputs with established objectives and completion points.

Business Process Outsourcing

A provider performs a recurring business process under defined requirements, metrics, and service expectations.

Examples can include payroll processing, bookkeeping, customer support, recruiting administration, transaction processing, and portions of sales or operational support.

Managed Services

Managed services generally extend beyond executing individual tasks. A provider accepts continuing responsibility for operating, maintaining, or improving a defined business or technology capability.

Accenture describes Ai-enabled managed-service partners as capable of automating selected workloads, accelerating service delivery, and helping close internal knowledge gaps.

Platform and As-a-Service Delivery

Software platforms can provide standardized infrastructure, workflow, communication, data-processing, and operational capabilities through subscription or usage-based models.

Automation and Ai

Digital systems can perform or assist with research, analysis, processing, routing, classification, communication, monitoring, and other workflow activities.

Retain, Support, Outsource, or Automate

Retain

Retain direct internal ownership when an activity materially involves:

• Business strategy
• Fiduciary responsibility
• Critical decision authority
• Proprietary knowledge
• Important institutional context
• Essential customer or stakeholder relationships
• Brand responsibility
• Material risk acceptance

Retention does not necessarily mean employees must perform every supporting task.

It means responsibility and authority remain clearly inside the organization.

Support

Keep responsibility internally owned while supplementing the organization with outside capability.

Support may be appropriate when:

• Specialized expertise is needed periodically
• Workload changes substantially over time
• Internal teams need additional capacity
• Senior expertise is valuable without requiring a full-time position
• A project requires skills the organization does not continuously maintain

Consultants, fractional leaders, specialists, and staff augmentation can all fit within this category.

Outsource

Outsource substantial process execution when:

• Requirements can be clearly defined
• Outputs can be measured
• Work is sufficiently standardized
• Providers possess useful scale or specialized capability
• Internal execution is not itself strategically differentiating
• Governance and accountability can be established

The process may be outsourced.

Responsibility for the business result is not.

Automate

Automation becomes particularly useful where work is:

• Repeatable
• Rules-based or pattern-based
• Information-intensive
• High-volume
• Measurable
• Digitally accessible

Human involvement should remain where judgment, sensitive communication, risk acceptance, exception handling, quality assurance, or final authority are required.

Retain vs. Support vs. Outsource vs. Automate

A single function may use all four.

Consider finance:

• Retain: financial strategy, cash decisions, and approval authority
• Support: fractional CFO or controller expertise
• Outsource: bookkeeping or transaction processing
• Automate: reconciliations, classification, and reporting workflows

How Ai Changes BPO

Ai introduces another resource into the operating model: digital labor.

Deloitte’s 2024 Global Outsourcing Survey found that 83% of surveyed executives were already leveraging Ai as part of outsourced services, describing Ai-enabled workers and automation bots as an emerging distinct talent model.

The important question is not merely whether a provider uses Ai.

It is whether Ai improves the underlying business process.

McKinsey’s 2025 State of Ai research illustrates the gap between adoption and enterprise impact. Eighty-eight percent of respondents reported regular Ai use in at least one business function, but only 39% reported enterprise-level EBIT impact. Nearly two-thirds said their organizations had not yet begun scaling Ai across the enterprise.

That distinction matters.

Adding Ai to a poorly designed process does not automatically create a better operating model.

McKinsey’s July 2026 operating-model research found that companies attributing at least 5% of EBIT to Ai were three times more likely to pursue broad operating-model redesign and twice as likely to redesign workflows before selecting Ai tools. Its analysis recommends decomposing workflows into individual tasks, determining what should move to Ai and what should remain under human control, then redesigning workflows before selecting technology.

Boston Consulting Group reaches a similar conclusion: layering Ai tools onto outdated, segregated operating models can preserve the silos and manual handoffs that prevent organizations from capturing broader value.

A stronger sequence is:

1. Define the desired business outcome.
2. Map the workflow.
3. Break the workflow into activities and decisions.
4. Determine what requires human judgment and authority.
5. Determine what can be externally delivered.
6. Determine what can be automated.
7. Establish governance.
8. Select appropriate technology and providers.

This is also why Ai should not be viewed solely as a headcount-reduction strategy.

McKinsey found mixed expectations for enterprise workforce size: 32% of respondents anticipated reductions of at least 3% during the following year, 43% expected no overall change, and 13% anticipated increases of at least 3%. Respondents at larger organizations were more likely than those at smaller organizations to expect reductions.

The more useful operating model contains three broad resource categories:

1. Internal human labor
2. External human labor
3. Digital labor

The management challenge is deciding how those resources should work together.

Branded Business Models’ August 2026 article, Ai-Driven Business Transformation: How to Turn Isolated Use Into Measurable Value, examines the related problem of redesigning complete workflows around Ai rather than merely adding isolated tools.

What Should Remain Inside the Business?

Hybrid outsourcing does not imply that everything capable of external execution should be transferred outside the organization.

Some responsibilities are particularly strong candidates for internal ownership.

Strategy

The organization should retain control over what it is trying to accomplish and why.

Decision Authority

Important decisions involving commitments, exceptions, risk, pricing, capital, customer relationships, or organizational direction require clearly defined authority.

Critical Relationships

Customers, employees, partners, and other important stakeholders should not become relationships management understands only through an intermediary.

Institutional Knowledge

Internal teams need enough understanding of important processes to evaluate whether outside providers and digital systems are performing correctly.

Governance

Providers, platforms, data, automation, and Ai require accountable internal oversight.

Strategically Differentiating Capabilities

Bain recommends keeping capabilities that underpin competitive differentiation in-house while retaining sufficient expertise to manage external providers effectively.

A responsibility can remain internally owned without being entirely internally executed.

That distinction makes hybrid outsourcing possible without turning the company into a disconnected collection of vendors, platforms, and systems.

Governance: How to Stay in Control of a Hybrid Model

1. Assign an Internal Owner

Every outsourced or automated process should have an identifiable internal owner.

Someone inside the organization must remain accountable for whether the process produces the intended business result.

2. Define Decision Rights

A hybrid operating model should establish:

• What employees may decide
• What providers may decide
• What automated systems may execute
• What requires approval
• What must be escalated

Ambiguous authority produces slow decisions and weak accountability.

3. Measure Outcomes

Traditional service levels remain useful, but activity alone may not demonstrate whether a process is performing well.

Useful measures can include:

• Accuracy
• Cycle time
• Customer satisfaction
• Revenue impact
• Cost per completed outcome
• Exception rates
• Compliance
• Availability
• Improvement over time

Deloitte reports increasing adoption of outcome-based sourcing, while KPMG recommends extending performance measures beyond conventional service-level calculations to account for factors such as speed, accuracy, automation, and improvement over time.

4. Govern Data and Technology

Contracts and operating procedures should address matters such as:

• System access
• Permitted data use
• Retention
• Deletion
• Security
• Intellectual-property rights
• Ai and model-training rights
• Integration responsibilities

KPMG specifically recommends defining Ai-related data usage, training rights, performance standards, intellectual-property terms, and governance within outsourcing contracts.

Federal Trade Commission guidance recommends putting vendor security expectations into contracts, specifying how vendors may handle and retain data, limiting access to what is needed, and establishing processes to verify compliance rather than relying only on provider assurances.

5. Preserve Knowledge and Portability

Maintain documentation, process maps, cross-training, data portability, and transition procedures.

A process that cannot be transferred without the incumbent provider can contain hidden strategic dependency.

6. Review the Model Continuously

A process that should be retained today may become suitable for external support tomorrow. An outsourced activity may later become automated. A technology-dependent capability may eventually become strategically important enough to justify rebuilding internal expertise.

For Ai specifically, the voluntary NIST Ai Risk Management Framework organizes risk-management activity around four functions: Govern, Map, Measure, and Manage. NIST treats these as interconnected functions rather than a mandatory linear sequence.

Governance is not a one-time implementation task.

It is part of the operating model.

How to Build a Hybrid Outsourcing Model

A practical hybrid model can be designed through seven steps.

Step 1 — Start With the Business Outcome

Define the actual objective.

What must become faster, more scalable, more reliable, more profitable, or more capable?

Do not begin by searching for a vendor.

Step 2 — Map the Workflow

Identify:

• Activities
• Decisions
• Inputs
• Outputs
• Systems
• Exceptions
• Handoffs
• Dependencies

This turns an abstract department or function into observable work.

Step 3 — Identify What Requires Internal Control

Determine which components depend materially on:

• Strategy
• Authority
• Important relationships
• Proprietary knowledge
• Institutional context
• Risk acceptance
• Competitive differentiation

Step 4 — Evaluate the Remaining Activities

Consider:

• Required expertise
• Process maturity
• Volume and variability
• Technology requirements
• Integration requirements
• Risk
• Measurability
• Reversibility
• Total operating cost

Total cost should include more than provider fees. Management time, implementation, technology, security, rework, transition, and exit costs can all affect the economics of the operating model.

Step 5 — Apply Retain, Support, Outsource, or Automate

Classify each activity individually.

Allow combinations.

The purpose is not to force every function into one category. It is to deliberately design the combination.

Step 6 — Design Governance Before Implementation

Define:

• Ownership
• Metrics
• Decision rights
• Security
• Escalation
• Knowledge retention
• Transition requirements

This workflow-first approach is consistent with McKinsey’s 2026 Ai operating-model analysis, which recommends redesigning workflows first, developing the supporting talent model second, and selecting technology third.

Step 7 — Implement, Measure, and Rebalance

The appropriate operating model is not necessarily permanent.

Business conditions, technology, providers, internal capabilities, and strategic priorities change.

The model should be capable of changing with them.

The Future of BPO Is an Orchestration Problem

Current sourcing evidence does not point toward a universal future in which organizations either outsource everything or bring everything back inside.

It points toward combinations.

Internal teams can retain strategic capabilities. Outside specialists add expertise. BPO providers execute defined processes. Managed services operate continuing capabilities. Platforms provide infrastructure. Automation executes repeatable workflows. Ai expands what digital systems can analyze, assist with, or perform.

Deloitte’s concept of multidimensional sourcing captures this broader direction, while McKinsey’s Ai research reinforces the importance of redesigning workflows and operating models rather than treating technology deployment as the transformation itself.

The competitive question may increasingly be less about whether a business owns every resource that performs the work.

It may be whether the business can design, integrate, govern, and continually improve the complete system that produces the outcome.

Final Thoughts

The future of BPO is not simply a debate between employees and outsourcing.

Businesses now have a wider operating toolkit: internal teams, external specialists, BPO, managed services, technology platforms, automation, and Ai.

The more useful strategic question is:

What should be retained, supported, outsourced, or automated—and how should those components operate as one accountable business system?

Branded Business Models’ capabilities include operating-model design and business-process optimization, Data Science & Ai, Systems Integration, outsourcing strategy, provider evaluation, implementation, project management, governance, and performance measurement.

If the current combination of employees, outside providers, technology, and Ai is not producing the desired results, the next step may not be another hire or another vendor.

It may be redesigning the operating model itself.

---

Evaluate Your Operating Model

Identify what should remain internal, where outside capability can create leverage, which activities can be automated, and how the complete system should be governed.

Schedule a Free Consultation

---

Sources

• Deloitte — Global Outsourcing Survey 2024
• Deloitte — The Power of a Multidimensional Workforce: Outsourcing for Strategic Advantage
• Bain & Company — Rethinking Tech Outsourcing: Five Actions to Create Value
• KPMG — Managed Services Outlook 2026
• KPMG — Rewriting the Outsourcing Playbook for Ai, Automation, and Platforms
• Accenture — Rethinking IT Operating Models
• McKinsey & Company — The State of Ai: Global Survey 2025
• McKinsey & Company — The Operating Model Advantage: Why Ai Winners Are Rewiring Their Organizations
• Boston Consulting Group — What Corporate Functions of the Future Will Look Like
• Federal Trade Commission — Cybersecurity Guidance for Working With Vendors
• NIST AI Resource Center — AI Risk Management Framework Core