IBS Software is publicly staking its product roadmap on AI-native architecture, with Chief Product Officer Abha Dogra framing the shift as a rebuild of how travel technology serves airlines, travel sellers and hospitality operators rather than a feature add-on.

In an interview with Pulse 2.0, Dogra set out the company's position on what "AI-native" means for a vendor whose core business sits in airline passenger processing, cargo, hospitality and travel payments — the operational plumbing behind a large share of global travel transactions.

What does AI-native actually change?

The distinction Dogra draws matters for travel sellers watching their vendors' roadmaps. An AI-native platform treats machine learning and large language models as foundational to how the software is designed from the ground up, rather than layering AI assistants onto systems of record built in a previous era.

For distributors and intermediaries, that difference shows up in practical questions:

• How quickly pricing, availability and itinerary logic can adapt to demand signals;
• Whether agent-facing and customer-facing workflows can be automated end to end;
• How much manual reconfiguration airlines and sellers must absorb for each new product or offer.

IBS Software competes in segments dominated by entrenched incumbents — passenger service systems, loyalty platforms, cargo management and hotel IT. Its pitch is that AI-native rearchitecture can shorten the product and offer lifecycle that legacy systems traditionally stretch out.

Why vendors' AI claims need scrutiny

Every major travel technology vendor now markets AI. Sabre, Amadeus and Accelya have all announced AI-driven retailing initiatives aimed at airline offer and order management, and IBS Software's positioning places it in the same contest for airline modernization budgets.

The burden of proof for vendors is measurable: carriers and travel sellers will judge AI-native claims on deployment timelines, integration cost and demonstrable gains in revenue per offer or reductions in processing overhead — not on architecture diagrams.

Dogra's interview is a product-strategy statement rather than a results disclosure. IBS Software is privately held, so outside investors cannot test its claims against filings; buyers will need to benchmark any AI-native deployment against contracted service levels and observed outcomes.

The commercial stakes

Airlines under margin pressure are consolidating IT spending around vendors that can demonstrate faster time-to-market for retailing changes — dynamic offers, bundled ancillaries, personalized pricing. If AI-native architecture delivers on that promise, it shifts share in a market where switching costs have historically protected incumbents.

For travel sellers, vendor strategy is a distribution question. Platforms that automate offer construction and ordering change how inventory, content and payment flows reach agents and direct channels — and who captures the margin along that chain.

What comes next

Dogra indicates IBS Software will continue building out AI capabilities across its product lines as the core of its go-forward strategy, with the travel industry's modernization cycle — airline retailing migration, hospitality digital transformation and payments automation — as the demand backdrop. How quickly those capabilities translate into contracted deployments will determine whether the AI-native label becomes a durable advantage or another phase of vendor marketing.