Growth targets sound thrilling—until they collide with a queue of “just one more integration”. Manual API projects still average 4 – 12 weeks per connection, and 71 % of companies need at least three weeks to ship even a single integration. Engineers, meanwhile, lose 20 – 40% of every week debugging glue code and a staggering 83% report burnout. The status quo scales head-count, not outcomes.

Lack of standardisation within increasingly complex technology is the culprit. The 2024 State of the API report shows the typical application already relies on 26 – 50 APIs before you add the next custodian feed, portfolio tool, or chatbot. Each new endpoint forces teams to reconcile mundane field mismatches—firstName here that turns into fName there—all ballooning into months-long backlog.

Generative AI flips that script. Amazon and Microsoft now produce about 25% of their production code with AI tools, and McKinsey finds Gen AI can shrink coding time by 35 – 45% across tasks. Integrations are an ideal use-case: mapping patterns are repetitive, docs are public, and low-stakes errors show up immediately. A Gen AI agent can propose a complete map in seconds; humans review and refine.

Importantly, letting Gen AI parse API docs does not increase risk. The model reads the same Swagger files and developer portals your vendors already publish—no customer PII, secrets, or proprietary logic ever leave your environment. Open Worldwide Application Security Project’s 2025 guidance calls “AI-assisted documentation parsing” low-risk when inputs are public and responses are logged for audit. Security reviews stay straightforward while teams reap the productivity gain.

But that is just the start. Analyst research shows pre-built connectors deliver 50 – 80% faster launches than green-field efforts. Basically, velocity multiplies when you reuse what already exists. Today this sort of sharing is difficult to achieve across multiple teams and organisations because of a lack of standardisation. Company A can not easily share what they have built with Company B even though they are connecting to the exact same API data. Pre-built Portable Data Modules (PDMs) solves this; working like Lego bricks that are standardised to work with any other instance—deploy them as-is or tweak a few fields to fit edge cases. Grab an off-the-shelf PDM, add an override for that odd preferredName field, and the integration is live before lunch. Engineering energy shifts from plumbing to revenue-driving features like smarter dashboards or instant onboarding flows.

Here is the new workflow in three moves: Draft—Gen AI ingests source and target docs and generates a map. Validate—a quick visual pass lets a product owner confirm data fidelity (no IDE required). Strategise—teams decide how the fresh data accelerates AUM growth, client UX, or risk controls.

When integrations become a “validate and strategise” conversation, backlog melts, burnout eases, and scale turns from a hiring problem into a product roadmap. Curious how same-day onboarding feels?

Grab a quick demo and watch a PDM deploy itself while your coffee cools.