What kinds of software projects do you take on?

We build enterprise web platforms, mobile apps, SaaS products and AI automations. Most engagements start from a defined product goal or a modernisation need, and we scope end-to-end delivery (strategy, design, engineering, QA, operations).

How long does a typical project take?

Discovery and prototyping usually land in 2–4 weeks. MVP delivery runs 8–16 weeks depending on scope. Enterprise rebuilds with multi-team orchestration take 4–9 months with phased releases.

Do you sign NDAs before the first conversation?

Yes. We sign a mutual NDA before any discovery session whenever a prospect requests one. Our standard master services agreement already covers confidentiality for paid engagements.

How do you price engagements?

We price fixed scope projects as milestone-based fixed fees and long-running partnerships as monthly retainers. Hourly billing is available for smaller scopes and R&D spikes.

Can you work with our existing in-house team?

Yes. We run co-development engagements where our engineers plug into your sprint cadence, code review workflow and security review process, then hand ownership back over time.

AI Integration Consulting

We identify where AI delivers the highest measurable impact in your operation, integrate it with your existing CRM, ERP, and data infrastructure, and turn the result into operational outcomes — not slideware.

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Turning AI Strategy into Scalable, Measurable, and Intelligent Growth

Most AI investments stall at the pilot stage. The cause is rarely the technology. It is usually weak use-case selection, missing integration with existing systems, and the absence of a defined business-outcome metric. Internative integrates artificial intelligence into the business processes and data infrastructure you already run. Process automation, customer-data analytics, natural-language assistants, and decision-support systems are our most common applications. We work with mid-sized and large companies across sectors, designing and deploying AI solutions that produce measurable operational outcomes.

Business Case & Readiness Assessment

We analyze your organization’s digital maturity, data ecosystem, and readiness for AI — identifying high-value use cases that drive ROI, efficiency, and innovation.

Strategy Design & Roadmapping

We design AI roadmaps aligned with business goals — defining success metrics, milestones, and implementation phases for measurable transformation.

Architecture & Integration Planning

We architect scalable AI ecosystems that integrate with CRM, ERP, and data pipelines - ensuring interoperability, data security, and operational resilience.

Proof of Concept (PoC) & Model Validation

We validate AI concepts through prototypes and pilot rollouts - testing model accuracy, feasibility, and ROI before full-scale deployment.

Deployment & Governance

We implement AI responsibly - ensuring compliance, transparency, and ethical use while maintaining performance and data integrity.

Ongoing Advisory & Optimization

Our experts provide continuous AI performance monitoring, retraining, and strategy optimization - keeping your systems aligned with evolving business goals.

AI Integration Success Stories

See how Internative guided enterprises in adopting AI strategies - combining architecture, governance, and data analytics to achieve measurable transformation.