Autonomous workflows wired into your systems, evaluated against real cases, and guarded well enough to run in production.
We identify which steps an agent can own outright, which it should assist, and which should stay human. The output is a ranked shortlist with expected time saved and the risk attached to each.
The engineering behind agents that finish what they start: planning and reasoning loops, memory and state, retries and fallbacks, and multi-agent handoffs with a clear owner for every step. Built on frameworks that suit your stack, and designed so a failure degrades gracefully instead of stalling the whole workflow.
An agent is only as capable as what it can see and touch. We connect yours to the systems the work lives in - CRM, ERP, ticketing, internal APIs, documents with retrieval that keeps answers grounded in your own data.
What separates a demo from something you can run unattended. We build evaluation suites against real cases, add guardrails for the actions that carry consequences, keep humans in the loop where the stakes justify it, and instrument every run so quality, cost, and failure patterns are visible from day one.
2.5×
uplift in video processing speed
Autodesk Flow Studio. An AI-driven production platform that enables the creation of Hollywood-level VFX and studio content on an indie budget.
75%
less manual document review
Document intelligence and AI workflows that keep clinical trials inspection-ready across 65,000+ research sites in 90+ countries.
$630M+
in annual revenue powered
The direct-to-consumer platform behind the world's best-known medical apparel brand. Search, product, and checkout clearing orders in 85 markets, for 3.1M+ clinicians.
450K
concurrent streams during the Summer Olympics
Germany's answer to Netflix. Our team architected the platform that carried the Summer Olympics live to hundreds of thousands of concurrent viewers, without missing a frame.
Nortik not only delivered a solid foundation but their solution also helped us raise our first investment that same year. They feel less like an external partner but more like an in-house part of our team!
Nortik’s Impact
Enterprise-grade employee management solution with fully integrated SAP and Payroll services.
Everything teams usually ask before letting an agent touch production. Not here? Ask us directly.
Rule-based automation follows one fixed path, and it breaks the moment reality stops matching that path. An agent works toward a goal instead. It picks its own tools, deals with the odd cases, and retries when a step fails.
That's how agents finally reach the work traditional automation never covered. Unstructured input, judgement calls, half a dozen systems that were never meant to talk to each other.
Research and summarisation, document and ticket triage, data extraction and enrichment, first-draft support replies, back-office processing, QA, and internal copilots over your own knowledge.
The pattern to look for is work that's high volume and rule-heavy but not quite deterministic, and that currently eats hours from people you hired for something harder.
Least-privilege access, an allow-list of actions it can take, validation before anything is written to a production system, and a human approval step wherever a mistake would be expensive.
Every action is traced too, so anything can be reviewed or rolled back, and you can always see why the agent did what it did.
We build an evaluation suite out of your real cases before anything ships, then score every change against it. Accuracy, completion rate, cost per run, how often it escalates to a person.
Most rollouts start in shadow mode, running quietly next to the existing process, so you can compare the two before the agent has authority over anything.
Whatever suits the workload. Claude, GPT, Gemini, or an open model when data residency or cost points that way, orchestrated with LangGraph, the vendor SDKs, MCP, or plain code when a framework would only add weight.
We keep the model swappable on purpose. The best choice changes every few months, and you shouldn't need a rewrite to follow it.
A working pilot on one scoped workflow usually takes four to eight weeks, mostly depending on how many systems it has to reach and how painful the access is to get.
Everything after that moves faster, because the orchestration, evaluation, and integration layer is already sitting there.
Discover more ways we can help you scope, build, and scale AI in your business.
