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Uncover insights, best practises and case studies.
Agentic AI software development services
AI-native delivery teams that accelerate software delivery without the hiring cycles, ramp-up time, or investment required to build AI capabilities in-house.
Companies know they need to move faster. The problem is the gap between wanting AI-accelerated delivery and having the internal capability to do it well. Hiring slows you down and requires a lot of resources. Building an AI engineering practice from scratch takes time and experience. And generic staff augmentation doesn't come with the expertise and consultancy needed to lead the process.
We close that gap. Our AI-native delivery teams bring the people, the framework, and the technology environment when you need it. You define the outcome. We configure the delivery.
We assemble full-stack teams that cover every phase of the development lifecycle. Humans set direction and verify outputs, AI acts as the muscle of code creation.
How our AI-native teams deliver value through our AI-first framework:
The result: faster time to value, lower delivery costs and predictable outcomes at scale.
| Humans | Human Tasks | AI Tasks | AI Agents |
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Architecture & Constraints
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Prototyping & Refinement
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Planner
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AI Context Orchestration
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Implementation Planning
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Specialized Coders
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Specification & Design
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Code Generation
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Reviewer
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Code Review
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Code Reviews & Testing
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Tester
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Solution Testing
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Documentation Improvements
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Documenter
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Shared Tools & Context
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Human Orchestration & Verification
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Our teams run with built-in token usage monitoring and cost projection from day one. We track token consumption across every sprint so you can see exactly how AI is being applied, forecast costs with confidence and maintain governance control throughout the engagement.
Our human-and-AI unified execution of complex systems means you can build software faster, accelerating delivery timetables without sacrificing code quality. While AI handles the execution-heavy work, our AI architects set the direction and oversee quality; compressing timelines from months to weeks.
We build teams around AI orchestration, bringing in the right AI capabilities for your environment rather than defaulting to a fixed toolset.
The AI-native team plugs in, delivers, and plugs out. You get the capacity of a full AI-enabled delivery team without the hiring cycles, onboarding ramp up times, or long-term workforce commitment.
Our talent hubs span the Americas region and Europe, which means the teams working on your product are in your time zone, not catching up to it. You get real-time collaboration, shared working rhythms, and engineers who integrate naturally into your delivery cadence. Where engagements require it, we bring in onshore talent across the US and Canada.
We don't drop AI tools on top of existing workflows and call it done. Our engineering framework defines exactly what AI executes and what our architects decide, with no ambiguous handoffs.
Our AI-based legacy modernization cuts through legacy complexity. We understand what's there before we build, so you get a roadmap that protects your business-critical processes.
25+
88%
2700+
50%
Our engineers work across the full AI development stack, from model platforms and orchestration frameworks to search infrastructure and testing tooling. We work with your stack or recommend the right one.
You have the tech environment. We bring the expertise: AI architects, domain specialists, and niche talent as needed. We work within your stack and accelerate delivery from the inside. Our governance layer tracks AI usage against your budget so there are no surprises. The right fit for mid-market companies and enterprises with existing AI tooling.
We bring everything: our specialists, our AI architects, and the full technology environment: AI agents, licenses and tooling. A self-contained delivery unit that integrates with your business goals and unplugs cleanly when the engagement ends. You get full cost transparency throughout, with usage reporting included as standard. The right fit for organizations that want AI-accelerated delivery without building the infrastructure themselves.
We talk through your product goals, delivery constraints, and team gaps.
We map your needs to the right capability layers and configure the engagement model that fits.
We align to your culture, codebase, and ways of working.
Give the greenlight to kick off development.
As your agentic delivery team completes sprints, scale up and down as you require.
Our AI-native engineering teams help you launch and scale complex software faster while meeting the technical, operational, and regulatory demands of your industry. From regulated public sector platforms and NATO-standard defence systems to national tax authority modernization and industrial operations, we've delivered AI-first solutions where reliability, compliance, and scale are non-negotiable.
A six‑week AI‑first project turned modernization uncertainty into concrete proof by delivering a fully functional time‑series analytics application on the customer’s own big‑data stack. It removed key risks, validated performance and integration, and demonstrated over 50% delivery efficiency gains.
A focused AI‑first project turned a decade‑old, hard‑to‑understand WebForms application into a clear modernization blueprint in just weeks. It delivered a runnable .NET and Angular prototype, clarified hidden functional complexity, and gave the customer a reliable view of the actual modernization effort.
Let’s discuss how our AI team augmentation services can recalibrate how you deliver software. Get face-to-face with our technical leaders to understand how we set up our agentic delivery teams and optimize your outcomes.
AI Pods are a hybrid AI team augmentation service, where AI agents work alongside expert engineers to meet a key objective.
AI-native delivery teams are a highly efficient form of AI staff augmentation. Your pod still meets expertise gaps on your teams and amplifies your in-house manpower. Through a well-established blend of agentic and human specialists, we accelerate your timelines and significantly lower costs.
Absolutely. At Nortal, our AI-hybrid teams are tool-independent, so we work with your current stack to understand the best type of AI agents (in-house or external) and other tooling to suit your needs.
We monitor token usage across every sprint, giving you full traceability on how AI is being applied and what it costs so you can plan with confidence. As the project runs, you have visibility into spend.
That depends on your main objective, though most of our teams will include a tech lead and architect, AI-experienced engineers, and QA specialists, as well as AI agents (in-house or external) for coding and testing.
For optimal results, AI agents typically handle repetitive or data-heavy tasks, while human engineers take charge of setting strategy and defining architecture, as well as verifying and controlling AI outputs.
Yes, we have the unique capability to scale up or down without friction. We can adjust your AI team augmentation scope as needed throughout the software development life cycle.