The strongest path is to treat financial inclusion as an ecosystem problem, not a single-product problem. Regulators create the policy environment, banks provide the accounts and rails, and fintechs can reduce friction with mobile, data-driven onboarding, and alternative credit signals. The goal is to lower documentation barriers, reach rural users, and extend basic services to people who are unbanked or underbanked.
How regulation, technology, and partnerships fit together
financial inclusion improves fastest when these three levers are coordinated, because each solves a different bottleneck. Regulation sets the rules for safe onboarding, consumer protection, and interoperability. Technology lowers the cost of serving small balances and remote customers. Cross-industry partnerships connect banks, fintechs, telcos, identity providers, and payment networks so access does not depend on one institution doing everything.
The practical question is not whether to choose policy, innovation, or partnerships, but how to sequence them so the weakest link does not block the rest. If the regulatory environment is too rigid, products never reach underserved users. If technology is advanced but disconnected from local rails and identity systems, adoption stalls. If partnerships are informal, the ecosystem fragments and basic services remain expensive.
For financial institutions, the most durable model is to anchor product design in regulatory compliance, then use technology to reduce friction, and finally use partnerships to extend distribution, verification, and settlement. That combination is what turns inclusion from a pilot into a scalable operating model. A useful parallel is the way inclusion depends on eIDAS 2.0, the EU Digital Identity Framework and similar trusted identity rails: lower-friction verification can widen access without removing accountability.
Where technology actually removes access barriers
Technology matters most when it reduces the cost and time of proving who a customer is, opening an account, and moving money safely. Mobile onboarding, remote verification, risk-based KYC, digital signatures, and alternative credit data can help institutions serve people who lack traditional documentation or a long credit history. The inclusion benefit comes from reducing friction without forcing users into products designed for affluent, urban, fully documented customers.
Cross-industry data sharing can also improve decision-making, but only if it is governed carefully. Alternative data should support affordability and repayment analysis, not become a back door to opaque exclusion or excessive surveillance. Institutions should also be cautious about over-relying on any single data source, because thin-file customers are often hardest to classify accurately. In practice, technology should expand the funnel, then hand off higher-risk cases to human review where needed.
Interoperable payments infrastructure is equally important. Low-value inclusion products fail when fees, reversals, settlement delays, or wallet-to-bank friction erase the customer benefit. Institutions that want to scale inclusion should treat the payment journey as part of the customer experience, not just the back-office plumbing. That is why mobile-first channels and low-cost rails are often more effective than adding another standalone product.
Why partnership design determines whether inclusion scales
Partnerships make inclusion possible when no single actor controls the full stack. Banks bring regulated accounts and trust. Fintechs bring user experience, automation, and faster onboarding. Telcos and distributors bring reach into rural or informal markets. Governments and regulators can create shared identity, disclosure, and interoperability standards. The strongest partnerships reduce duplication, share risk, and let each party do what it is best at.
Partnerships work best when the operating model is explicit: who owns the customer, who performs verification, who holds the funds, who handles dispute resolution, and who is accountable when controls fail. If these questions are vague, the ecosystem may expand access in name but create fragmented customer journeys and uneven accountability. The right partnership is not the broadest one, but the one with clear roles, measurable service levels, and a path to supervision at scale.
That is also why AML and KYC obligations remain central in inclusion programs. Financial institutions can widen access only if they preserve trust in the system, and that requires proportionate controls rather than blanket exclusion. For institutions working across borders or onboarding higher-risk segments, the FATF Recommendations remain the baseline for customer due diligence and risk-based onboarding. In practice, inclusion programs often succeed when they embed compliance into the customer journey instead of treating it as a separate gate.
Risk and Threat Considerations
Financial inclusion programs can fail when they weaken controls in the name of speed. If onboarding shortcuts create identity fraud, synthetic accounts, or weak customer verification, the institution may expand access while also expanding loss, abuse, and regulatory exposure. Partnership-heavy models add third-party risk, data-sharing risk, and operational dependency risk, especially when service quality differs across markets or channels.
Failure mechanism: A weak trust model, poor data governance, or inconsistent due diligence lets bad actors exploit low-friction onboarding, misuse partner channels, or launder activity through accounts opened for underserved users.
Impact: The result can be fraud losses, sanctions or AML breaches, customer harm, broken trust, and a policy backlash that makes future inclusion efforts harder to approve.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-53 Rev 5 and NIST CSF 2.0 set the technical controls, while ISO/IEC 27001:2022 and SOC 2 (AICPA) define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | IA-8 — Identification and Authentication (Non-Organizational Users) | Covers remote customer onboarding and proofing for excluded users. |
| IA-12 — Identity Proofing | Supports trusted digital onboarding where documentation barriers are reduced. | |
| AC-6 — Least Privilege | Limits partner and staff access in multi-party inclusion ecosystems. | |
| Recommendation — Apply IA-8 to verify external users before granting financial access. Use IA-12 to strengthen proofing while keeping onboarding low-friction. Enforce AC-6 to restrict partner access to only necessary financial functions. | ||
| NIST CSF 2.0 | GV.RM-01 — Risk Management Strategy | Fits ecosystem inclusion decisions that balance access, compliance, and fraud risk. |
| PR.AA-05 — Identity Management, Authentication and Access Control | Applies to trusted customer and partner access across digital inclusion channels. | |
| Recommendation — Define a risk strategy that permits inclusion while constraining abuse. Implement PR.AA-05 to authenticate users and control access across channels. | ||
| ISO/IEC 27001:2022 | A.5.19 — Information security in supplier relationships | Relevant to banks relying on fintechs, telcos, and processors in inclusion partnerships. |
| A.5.23 — Information security for use of cloud services | Supports digital onboarding and mobile inclusion services delivered through cloud platforms. | |
| Recommendation — Apply A.5.19 to govern security expectations for inclusion partners. Use A.5.23 to set security requirements for cloud-based inclusion services. | ||
| SOC 2 (AICPA) | CC6.1 — Logical and Physical Access Controls | Directly supports access control for customers, staff, and partners in inclusion platforms. |
| CC9.2 — Risk Mitigation | Fits third-party and operational risks introduced by ecosystem-based inclusion models. | |
| Recommendation — Design access controls that limit who can reach inclusion systems and data. Track and mitigate partner and process risks that could disrupt inclusion delivery. | ||
Practitioner Guidance
What to prioritize: Start with the parts of the inclusion journey that are most likely to block adoption, usually identity proofing, affordability assessment, and payment access. If those are solved, product innovation has a much better chance of reaching scale.
What to verify: Confirm that every partnership has a clear control owner for onboarding, fraud handling, complaints, and incident response. Also verify that the compliance model is risk-based, not simply relaxed.
Decision rule: If a proposed inclusion product depends on weaker verification to work, redesign the product rather than lowering the control bar. If it depends on multiple intermediaries, require written accountability and measurable service standards before launch.
Practitioner takeaway: The best inclusion programs expand access by reducing friction, not by removing trust controls; scale comes from pairing proportionate regulation with technology and partnerships that are operationally accountable.
Related resources from NHI Mgmt Group
- Where does cross-environment agent discovery fit in an IAM programme?
- How should financial institutions prepare for BNPL regulation changes?
- How should financial institutions combine identity verification and fraud controls across the customer lifecycle?
- Who is accountable when financial institutions expand digital access and compliance requirements rise?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
