Financial capability before fintech adoption: a diligence guide for SME investments

What the owner-manager survey supports

The study examines 264 SME owner-managers in Sri Lanka’s Western Province and models relationships among financial literacy, access to finance, fintech adoption and firm performance. It reports positive associations, including proposed mediating pathways through finance and fintech. The source is relevant to a family office evaluating an operating-company investment or supporting a portfolio business, but it does not study family-office portfolios. The sample is geographically restricted and non-probability based, and the design does not randomly assign financial education or technology adoption.

The practical starting point is to investigate whether management understands financial decisions and whether proposed technology addresses a specific operating problem. The paper’s measures are survey-based: literacy reflects subjective understanding and application, access to finance reflects perceptions, and fintech adoption includes a behavioral-intention dimension. These are not interchangeable with independently verified competence, a signed credit commitment or a functioning system. An investment memorandum should preserve those distinctions rather than treating favorable survey responses as completed operational capabilities.

Verify financial understanding with actual work

The diligence lead should ask management to explain a recent cash-flow forecast, a financing decision and a material variance using records the company is authorized to share. The objective is not to create an adversarial examination but to connect stated understanding to the business’s own decisions. Ask what assumptions were made, what changed and who reviewed the response. Where the accounting team and owner disagree, record the discrepancy and the plan to resolve it. Self-confidence is useful context but cannot replace reconciliation of the underlying numbers.

Build a capability map covering cash management, reporting, financing and investment approval. Identify which tasks are performed internally, which are outsourced and where a single person holds critical knowledge. A small business need not replicate a large institution’s staffing model, but it should know who is responsible for each material decision. Keep learning needs separate from blame. The study motivates attention to financial capability; it does not establish that any particular owner is deficient or that hiring an additional adviser will necessarily improve performance.

Separate credit availability from confidence in obtaining it

The treasury reviewer should distinguish management’s belief that finance is accessible from documented offers, committed facilities and conditions that remain unsatisfied. Record amount, maturity, pricing, collateral, guarantees and renewal terms for material financing. Identify where operations depend on an informal expectation that funds will be available. A perceived-access measure is meaningful for research, but a family office underwriting downside liquidity needs transaction-specific evidence. Do not count an unapproved facility as cash available to meet a committed obligation.

Compare forecast needs with confirmed funding under a plausible downside case. If there is a gap, specify whether it arises from timing, profitability, working capital or an expansion commitment. Assign an owner and a resolution date. Pause a proposed investment or distribution if its financing relies on an unsupported assumption that cannot be resolved through the approved process. These are proposed diligence controls, not results of the study. They prevent a positive narrative about literacy and financing from concealing a concrete shortfall.

Treat fintech as a controlled operating change

The operations lead should define the problem before choosing a fintech product: reconciliation delays, payment errors, reporting gaps or another measurable need. Document the existing process, its cost and its failure points. Then assess whether the proposed system addresses that problem, what data it requires and how it integrates with current records. Interest in adoption is not evidence of successful implementation. A vendor demonstration or management intention should remain distinct from a tested workflow used by the business.

Run a bounded pilot with an accountable owner, defined users, acceptance criteria and a reversal plan. Check data accuracy, permissions, exportability, reconciliation and continuity if the provider becomes unavailable. Use qualified technical and legal advice where needed; this companion does not certify any product or regulatory status. Stop the pilot if balances cannot be reconciled, access controls fail, costs materially exceed the approved case or staff cannot recover essential records. Record the condition that must be met before resuming, rather than allowing enthusiasm for technology to override basic control failures.

Evaluate changes without overstating causality

The portfolio manager should track separately the education delivered, the processes changed, actual finance obtained and operating outcomes. A short-term performance improvement may reflect demand, pricing or other business conditions rather than literacy or fintech. The source itself identifies omitted factors and possible bidirectional relationships as limitations. It also excludes foreign-owned enterprises and focuses on one commercially important province. These choices limit transfer to other SMEs and make a universal performance uplift inappropriate for valuation or underwriting.

Agree a review date and compare actual results with the pre-adoption baseline, noting changes in the business environment and unresolved data quality issues. Useful measures include reconciliation time, forecast error, reporting timeliness, confirmed funding gaps and system exceptions. Do not imply that these metrics were validated by the paper as predictors of returns. Preserve the capability map, financing register, pilot record and review decision. This original AI-assisted companion offers a practical diligence structure, with no new empirical results, source-author endorsement or documented human peer review. Its purpose is to turn a promising association into questions that can be answered with company-specific evidence.

Source, attribution and limits

[1] Geesara Kasthuri Arachchi; Ishan Perera; Chathurya Gamage; Shehara Wijesinghe; Krishantha Wisenthige; Nirmani Dayapathirana. Does financial literacy matter for firms? An empirical investigation on Sri Lankan SMEs. PLOS ONE (2026-07-21). https://doi.org/10.1371/journal.pone.0354031. CC BY 4.0.

Non-probability sample of264 SME owner-managers in Sri Lanka’s Western Province. Subjective literacy, perceived finance access and adoption intention are not independently verified capability or implemented systems. Cross-sectional mediation does not establish causality.

Prepared by the Family Office Private Wealth Journal editorial research desk with AI assistance at the direction of Dr. Freedom Cheteni. Original research authors retain full credit and are not authors or endorsers of this companion. This proposed process has not been evaluated in a new empirical study; no independent peer-review acceptance is claimed. This is educational analysis, not individualized investment, legal or tax advice.

Implementation record

Open the cited sources

1. [1] Geesara Kasthuri Arachchi; Ishan Perera; Chathurya Gamage; Shehara Wijesinghe; Krishantha Wisenthige; Nirmani Dayapathirana. Does financial literacy matter for firms? An empirical investigation on Sri Lankan SMEs. PLOS ONE (2026-07-21). ↗