arrow_circle_right AI AGENTS
Agentic AI that works alongside your team & delivers on its own
Build intelligent AI agents that automate complex workflows, support decision-making, and execute tasks across your business systems. Everything done securely, reliably, and at scale.
arrow_circle_right Our clients
They’ve trusted us
arrow_circle_right THE CHALLENGE
Where agentic AI actually helps
Your teams probably have the tools, but what they don’t have is time. The work is scattered across systems, and every decision means someone stopping to get data or approvals. Agentic AI closes that gap, but only if it holds up in production.
It earns its complexity when decisions span systems – combining data sources, investigating across tools, coordinating several agents at once. That’s where we apply it.
arrow_circle_right USE CASES
What agentic AI can do for your business
AI coding agents
Give your development team AI agents that write code, debug, draft documentation, perform testing, and review code. Integrated into your existing development workflows, coding agents help your team ship faster, keep standards consistent, and spend less time on repetitive engineering tasks.
AI workflow automation
Some workflows shouldn’t need a human in the loop for every step. Agentic AI can take on the multi-step workflows that usually mean your people moving between systems, checking information, making decisions, and triggering whatever comes next. We connect AI agents to your tools, data sources, and business processes, so routine work gets done automatically – and your response times and consistency improve with it.
Enterprise AI copilots
Give your employees an intelligent AI assistant that actually knows your business. AI copilots can retrieve information, draft content, and execute tasks across your enterprise systems, so your teams spend less time on manual admin and more time on the work that needs a human.
Multi-agent systems
Some problems are too complex for a single agent to solve alone. We build multi-agent systems – collaborative AI ecosystems where specialised agents coordinate tasks, share information, and automate workflows across departments, applications, and operational environments.
AI-powered customer support automation
Enhance customer service operations with intelligent AI agents that can manage enquiries, retrieve relevant information, coordinate responses, and support your team across every channel your customers use.
Autonomous data analysis and reporting
Make faster, better-informed decisions with AI agents that gather data, analyse it, generate reports, and surface actionable insights automatically. Your teams spend less time compiling numbers and more time acting on them.
Intelligent process orchestration
Keep complex operations moving without the bottlenecks. AI agents can plan, coordinate, and execute multi-step workflows (from approvals and request processing to day-to-day operational tasks), so your business runs more efficiently, with fewer delays.
arrow_circle_right OUR APPROACH
Why build agentic AI with Spyrosoft
Engineering-first, not prompt-first
We treat agentic AI as software engineering, not prompt engineering. Every agent we build is tested, versioned, and monitored like any other production system.
Orchestration as the control layer
Designing the layer that decides what happens next is crucial for us: which tool gets called, when retries are allowed, and where the boundaries sit. Without it, multi-agent systems are hard to debug and trust.
Integration treated as core engineering
We build the connections to your CRM, ERP, ticketing, and internal APIs as a first-class part of the solution, not an afterthought.
Observability from day one
Every step an agent takes (its plan, the tools it called, the sources it used, the time and cost involved) is logged and traceable. Thanks to that, you know the system is doing what it’s supposed to.
Architecture built to change
Retrieval patterns, context-window limits, and model choices will keep evolving. We build modular systems, so routing logic or execution paths can change without a full redesign.
arrow_circle_right THE PROCESS
This is how we work
-
01
– Benchmark latency
– Validating APIs and platform constraints
– Building a minimal end-to-end prototype
– Identifying and assigning ownership of top risks -
02
– One high-value workflow
– Limited integrations
– Measurable success criteria
– Deliberately not the full platform on day one -
03
– Adding agents
– Expanding integrations
– Hardening governance and operations with formal scope control
arrow_circle_right Our team
Meet our experts
Drawing on my background in IT and business, I managed analytics projects across various sectors, including telecommunications, retail, automotive, and healthcare. My experience included developing predictive models that drove decision-making, scaling data science teams to support startup growth, and leading comprehensive digital transformation initiatives for large corporations. I have a proven ability to translate complex technical solutions into actionable business strategies, ensuring they align with organisational goals. In addition, my postgraduate management studies, based on an MBA curriculum, have honed my leadership, strategic planning and effective communication skills, enabling me to deliver tangible results and drive sustainable business growth.
Ex-McKinsey and EMBA graduate. GCP-certified, providing board-level strategic AI advisory. I partner with C-suites at global enterprises to scope, de-risk, and design large, production-grade (agentic) AI systems. After McKinsey, I led analytics and AI in high-growth startups and scale-ups – including healthcare, ecommerce, and finance – turning strategy into shipped capabilities like AI-enabled MarTech platforms, product engines, and decision platforms. In pre-sales and executive forums, I run discovery and architecture sessions, advise on implementation approaches, and align stakeholders to accelerate enterprise roadmaps.
I am a highly experienced Software Engineer with a distinguished career spanning over 15 years. Currently, I hold the role of Enterprise AI Consultant, where I leverage my extensive expertise to create cutting-edge AI solutions tailored for business needs. My specialised skills encompass a robust proficiency in data quality automation, the development of generative content systems, and the design and implementation of conversational AI technologies. My work reflects a deep commitment to innovation and excellence in the rapidly evolving field of artificial intelligence.
As a Senior AI Consultant at Spyrosoft Solutions, I draw on a hands-on technical background in machine learning to translate complex business challenges into secure, scalable AI strategies.
Throughout a wide variety of experiences across the tech landscape, I have built broad expertise in designing advanced AI solutions for highly demanding domains—primarily Automotive, Healthcare, Industry, and Defence. My technical focus ranges from engineering complex computer vision to designing secure agentic AI systems.
A key part of my approach involves facilitating AI discovery workshops, where I help organisations assess their technological readiness, prioritise high-impact use cases, and build actionable roadmaps that safely accelerate AI adoption and drive tangible business value.
arrow_circle_right FAQ
Common questions answered
Yes. Every agent we build includes access controls, audit trails, and human-in-the-loop checkpoints for actions that matter. Low-risk tasks run automatically, medium-risk tasks run under tighter constraints with full logging, and high-risk tasks require human approval.
Agents can connect to the tools and business systems you already use: CRM, ERP, ticketing platforms, cloud infrastructure, and more. We design the integration around your existing stack, not the other way around.
Not always, and we’ll tell you if it’s not. If your workflow only needs summarising a document or answering a question from one source, a standard LLM workflow is usually cheaper, faster, and easier to govern. Multi-agent systems earn their complexity when work spans systems and decisions. We’ll recommend the best option for your case.
No. Agentic AI takes on the repetitive, multi-step work that slows your teams down, so your people can focus on judgement calls, relationships, and the work that needs a human perspective.
arrow_circle_rightCONTACT US
Let’s talk about your agentic AI opportunity
Tell us about your business and where you’d like AI agents to make the biggest difference.
Tomasz Smolarczyk
Director of Artificial Intelligence