How to Evaluate Micro-Apps vs Off-the-Shelf Tools: A Decision Framework for Ops
Cut the noise: a simple decision framework to stop wasting time and money on the wrong tools
Too many ops teams face the same trap: a pile of subscriptions that don’t talk to each other, bespoke spreadsheets that only one person understands, and a backlog of “we should build this” requests that never ship. If you need a single practical way to decide whether to build a micro‑app, buy SaaS, or integrate existing tools, this article gives you a tested, repeatable framework you can run in a 60–90 minute ops review.
Top-line answer (read first)
Short decision rules:
- Buy SaaS when your need is common, must scale quickly, or needs deep vendor support (e.g., CRM, payroll, billing).
- Build a micro‑app when the process is unique, tightly integrated with internal data, needs a custom UX, and you can accept ongoing maintenance.
- Integrate existing tools (glue) when features exist across platforms but data flows are missing — use automation or middleware to get fast time‑to‑value with low cost.
Below you'll find a scoring framework, step‑by‑step evaluation, heuristics, sample calculations, and checklists you can use in a procurement or build workshop.
The Build vs Buy vs Integrate Decision Framework (high level)
Evaluate your option across eight core criteria. Score each criterion 1–5 (1 = poor fit for build, buy, or integrate; 5 = excellent fit). Multiply by the criterion weight, sum the totals, and compare three totals. This produces an evidence‑based recommendation instead of gut instinct.
Criteria and suggested weights
- Time to value (weight 18%) — How fast do you need outcomes?
- Maintenance cost & team capacity (18%) — Ongoing upkeep and who will own it.
- Upfront build cost (12%) — Development, hosting, integration setup.
- Recurring SaaS cost & vendor fees (12%) — Subscriptions, per‑seat costs, usage charges.
- Integration complexity & data portability (12%) — APIs, data gravity, sync frequency.
- Security & compliance (10%) — Data governance, audits, industry regs.
- Differentiation & strategic value (10%) — Is this a competitive advantage or commodity?
- Scalability & future roadmap (8%) — Can the option grow with you?
How to score (example)
For each option (Build / Buy / Integrate), give a 1–5 on each criterion, multiply by the weight, then sum. Use the scores to guide decisions — not to replace human judgement. Typical thresholds we use in ops reviews:
- Total > 3.8 out of 5 → Strong fit
- Total 3.0–3.8 → Consider with caveats / pilot first
- Total < 3.0 → Poor fit
Step‑by‑step evaluation process (run this in 60–90 minutes)
- Map the problem and outcomes — Define one clear metric (e.g., reduce manual approvals from 4 days to 1 day). Keep it measurable.
- Inventory current tools & flows — List systems, data owners, APIs, and pain points. This helps identify if you're solving for a tool gap or a process gap (source of many bad builds).
- Run the scoring matrix — Score Build / Buy / Integrate using the criteria above. Use conservative estimates.
- Estimate Time‑to‑Value (TTV) — For build: prototype (MVP) in weeks; for buy: vendor trial + configuration; for integrate: automation scripts or middleware connectors.
- Calculate a 3‑year Total Cost of Ownership (TCO) — See formula below.
- Check for soft constraints — Compliance, data residency, contract negotiation timelines, vendor lock‑in risk.
- Decide with an experiment plan — If uncertain, pilot the top option for 4–8 weeks with clear success criteria and a rollback plan.
3‑Year TCO formula (simple)
Use this to compare apples to apples.
Build TCO = Initial dev cost + hosting & infra + integrations + (annual maintenance cost × 3) + opportunity cost
Buy TCO = (subscription cost × 36 months) + setup & configuration + integration + vendor training + change management
Integrate TCO = integration tool fees + development of connectors + monitoring + small maintenance pool
Example: an approvals micro‑app might be built in 4 weeks by a contractor for $8k with $200/month hosting and $1k/year maintenance (own dev). SaaS workflow tools could be $600/month. Over 3 years, Build TCO ≈ $8k + ($200×36) + ($1k×3) = $8k + $7.2k + $3k = $18.2k. Buy TCO ≈ $600×36 = $21.6k (plus training). Integration might be $500/month = $18k. In this hypothetical, build slightly wins on cost but consider maintenance risk and team availability.
Practical heuristics and guardrails
- If the process is standard and you need scale quickly → Buy. CRMs, payroll, invoicing, and email deliverability are generally SaaS territory.
- If the process is unique to your company and drives differentiation → Build a micro‑app. Examples: a proprietary lead scoring model embedded into ops flows, custom commission rules, or a unique onboarding checklist tied to internal documents.
- If 60–80% of the need is covered by existing tools → Integrate. Glue is often the fastest path to time‑to‑value.
- Short on engineering capacity → Favor buy or integrate. No‑code/low‑code options shrink TTV but don't eliminate maintenance.
- High compliance or regulated data → Buy only after security review; building requires dedicated security resources.
- Choose pilots over big bets. When in doubt, prototype a micro‑app with a single team for 4–6 weeks or run a paid vendor trial with real data.
Real examples from ops teams (short case studies)
Example 1 — Quick win with integration (sales data consolidation)
Problem: Sales data scattered across CRM, billing, and spreadsheets. Manual reconciliations cost two admin days per week.
Decision: Integrate. The team used a low‑code ETL/middleware and built automated syncs, cut reconciliation time to 3 hours/week, and avoided building a custom data warehouse. Score favored integration: high TTV, low maintenance, low upfront cost.
Example 2 — Micro‑app for unique approval policy (HR ops)
Problem: A nonstandard travel reimbursement policy required conditional approvals and embedded policy checks not supported by the travel SaaS.
Decision: Build a small micro‑app that sits between the expense tool and the ERP. Built in 3 weeks with a contractor and an internal product owner. Result: approvals dropped from 5 days to same‑day for 85% of cases. The team accepted a small maintenance budget and scheduled quarterly reviews.
Example 3 — Buy for scale (CRM)
Problem: The company needed robust deal management, forecasting, and integrations with multiple sales tools.
Decision: Buy enterprise CRM. Scored highly on scale, vendor support, security, and ecosystem (integrations). The purchase avoided months of custom development and provided vendor roadmaps aligned to company needs.
“Most orgs don’t need new software — they need better integration and governance.” — synthesis from MarTech’s 2026 reporting on tool sprawl
2026 trends you must account for
- AI‑assisted app builders & vibe‑coding — Late 2025 and early 2026 brought mature AI copilots that let non‑devs create micro‑apps rapidly. That lowers TTV but increases the number of ephemeral apps — add governance to avoid sprawl.
- Composable ops & API‑first SaaS — More vendors publish lightweight APIs and reusable components; integration becomes cheaper but requires strong data contracts.
- Micro‑SaaS growth — Buyers can often find small vendors that solve niche ops problems; vet for longevity and exportability.
- Security & AI governance — New requirements for model transparency and data lineage emerged in late 2025 in several jurisdictions. These affect build decisions where sensitive data is involved.
- Subscription fatigue & consolidation — As reported across industry reviews (2026 CRM guides show consolidation), teams favor fewer platforms with richer ecosystems.
Operational checklists — what to do next
Pre‑decision checklist
- Define the single outcome and success metric for the project.
- Inventory existing systems and owners.
- Run the scoring matrix for Build / Buy / Integrate.
- Estimate 3‑year TCO for each option.
- Identify compliance or security blockers.
If you choose to build
- Create an MVP scope limited to core value.
- Allocate an owner from ops and a technical maintainer.
- Document data models, API contracts, and backup plans.
- Schedule maintenance budget and quarterly health checks.
- Plan for exportability if you later switch to a vendor.
If you choose to buy
- Run a 30–60 day vendor pilot with production data (if possible).
- Negotiate SLAs, data export terms, and exit clauses.
- Confirm integrations and single sign‑on (SSO) requirements.
- Budget training and change management.
If you choose to integrate
- Prioritize connectors with error handling and observability.
- Use idempotent operations to avoid duplicate writes.
- Monitor sync latency and set SLA targets for data freshness.
- Document ownership of each data flow and escalation paths.
Common pitfalls and how to avoid them
- Building for perfection: Deliver an MVP and iterate. Most failed builds die from feature creep and lack of ownership.
- Underestimating maintenance: Add at least 20–30% of initial dev cost to yearly maintenance if you don’t have a dedicated engineering rotation.
- Ignoring data contracts: Whether integrating or buying, clarify schema and ownership to prevent downstream breakage.
- Letting pilots live forever: Timebox experiments and either retire or productize results within 3 months.
- Tool sprawl without governance: Follow the MarTech warning: too many underused tools add hidden costs and complexity. Consolidate annually.
Quick workshop agenda (60 minutes)
- 5 min — Align on the business outcome.
- 10 min — Inventory systems and constraints.
- 20 min — Score Build/Buy/Integrate with the matrix.
- 15 min — Estimate TTV and TCO for top option.
- 10 min — Agree next steps: pilot, RFP, or build sprint.
Closing recommendations
Use this framework as a repeatable ritual in ops meetings. It turns subjective
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