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Hicron Software advises and leads AI initiatives, guiding on what’s worth pursuing, what should be postponed, and when to abandon a project. The first step is to assess the readiness of a given business process for AI implementation. Only then does the project move on to the following stages: design and implementation.
| Service | What we do | Gain | Typical outputs |
|---|---|---|---|
| AI Strategy & Use Case Prioritization | We score AI cases with leadership on impact, feasibility, and risk. Cases that miss the bar receive a stop or deferral record before budget moves. | Leadership enters the next funding conversation with a clear first priority. |
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| AI Process Improvement Consulting | We test one owned process for AI fit on data access, ownership, and operating constraints. We reach a verdict together before any build starts: AI, automation without AI, fix-first, or stop. | The sponsor reaches a clear decision before budget commits. |
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| AI Solution Design & Architecture | We design data flows, integrations, security, and release criteria with process owners in the room. | The sponsor can approve the next stage with scope and architecture settled. |
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| AI Technology & Software Implementation | We build the approved design into working software and release it in the client’s live systems. | The solution runs in the systems the business already depends on. |
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| Training, Change, & AI Operations | Before delivery wraps, we prepare each user group for day-to-day use and set a review cadence. | The client team sustains the solution and drives its improvement after the engagement closes. |
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Stages stay visible even when a team enters mid-path.
| Stage | What happens | Typical outputs |
|---|---|---|
| 1. Discover | Goals, process, data access, sponsors, constraints | Opportunity shortlist, Fit Check report |
| 2. Design | Architecture, integration, security, success measures | Solution design, PoC Evaluation Plan draft |
| 3. Prove (PoC) | Controlled build on real data and workflows | Measured PoC result vs plan |
| 4. Harden (MVP) | Production-ready slice for a limited user group | MVP in a real environment |
| 5. Ship | Full integration, release controls, training | Production release, owners named |
| 6. Operate | Monitoring, retraining cadence, improvement backlog | MLOps / AI operations routine |
Teams can enter at Discover, Design, or Prove. Later stages stay available with the same delivery team.
Piotr leads our initiatives and projects around artificial intelligence technology, managing both internal developments and client solutions. He specializes in practical applications of machine learning and natural language processing, helping teams solve challenges with the right AI tools. Piotr ensures that AI projects are efficient and aligned with business objectives. He leads AI consulting and implementation engagements across discovery, PoC, MVP, and production. He also authored the AI Delivery & Operations Assurance Framework used when an initiative needs a formal gate record.
Small and mid-sized teams show up in search for AI consulting services for small businesses and SMBs. Hicron Software works with that audience when the problem is concrete and someone owns the outcome.
Start with the Fit Check. Move to a workshop, PoC, or MVP only when the case supports it. That is how affordable AI consulting stays tied to evidence for growing companies.
An AI readiness assessment evaluates your organization’s current infrastructure, data quality, and team capabilities to determine how prepared you are for AI implementation.
This comprehensive review identifies potential challenges, recommends necessary improvements, and creates a clear roadmap for successful AI adoption that aligns with your business goals. It also helps organizations set clear priorities and allocate resources by highlighting which areas are most suitable for AI adoption. With these insights, you can focus on projects that offer the greatest value and avoid unnecessary effort on less impactful initiatives.
Modernizing core systems does not need to be risky or expensive. We provide affordable AI consulting tailored to legacy system transformation, helping you achieve measurable progress within a budget that fits your needs. Our approach offers flexible engagement options such as fixed-scope discovery sprints, hourly advisory, and milestone-based projects, ensuring you see results without large upfront commitments.
We focus on high-ROI use cases and make use of your existing infrastructure whenever possible. Often, our process begins with a small pilot or MVP to quickly demonstrate value and alignment.
Let us know your budget, timeline, and main systems you wish to modernize, and we will create a clear, transparent plan with defined ROI checkpoints.
Yes. Small businesses and SMBs are a fit when one process has an owner and a clear goal. The default entry is an AI Fit Check, then a gated path into assessment or implementation. Growing teams get the same framework rigor as larger organizations, scoped to one use case.
A deeper engagement that diagnoses a new idea or a stalled PoC against evidence. It produces success criteria, gaps, and a gate verdict for the budget owner.
A 30–45 minute first session that tests fit, ownership, data, and decision readiness. You leave with a short report and a recommended next step on the framework path.
Yes. Process improvement sits inside Fit Check and Explore work for one owned workflow. The output is a ranked path: AI, automate without AI, or fix first.
Security, access, and regulatory constraints enter the design and gate criteria before build. Integration follows the client’s control model and documented data rules.
Stop closes the AI path for that case with a documented reason. That outcome protects budget and counts as a successful use of the framework.
Governance, risk, and ethical oversight enter the design and quality gates before build. The Assurance Framework records owners, success criteria, and review cadence the sponsor can defend. For a deeper read, see Hicron Software content on generative AI governance.
Yes. Solution design workshops, PoCs, and MVP implementations are standard formats. An AI Fit Check is the short entry when the next format is still unclear.
Discover, design, prove (PoC), harden (MVP), ship, and operate. Teams may enter mid-path. Assurance gates and a PoC Evaluation Plan apply when the stage needs a formal decision record.
End-to-end work from strategy and design through PoC, MVP, production, and operations. Hicron Software AI consultants place the initiative on that path, including greenfield and legacy contexts.
Hicron Software has supported companies as IT experts since 2006, with deep work in software delivery, modernization, and operational systems. AI consulting and implementation use that same delivery standard: clear owners, staged proof, and production handoff when the case holds.
Advisory and delivery work that identifies, evaluates, and implements AI where the business case holds.
At Hicron Software the work runs through the Assurance Framework and named quality gates.
AI implementation can help your company automate routine tasks, reduce operational costs, and improve decision-making through data analysis. Common benefits include faster processing times, reduced human error, and the ability to handle larger volumes of work. AI can also help you identify patterns in customer behavior, optimize supply chains, and improve product recommendations. The specific benefits depend on your industry and business needs, which we assess during our consultation process.
Implementation timelines vary based on the complexity and scope of your project. Our approach starts with a pilot project focusing on one process or area, which typically takes 8-16 weeks to complete. This allows us to test the solution and gather feedback before expanding. Full-scale implementations can take anywhere from 3-18 months, depending on factors like data readiness, integration requirements, and team training needs. We provide detailed timelines during the planning phase.
Data security is a top priority in all our projects. We follow industry-standard security protocols, including data encryption, secure access controls, and compliance with regulations like GDPR and CCPA. Our team works within your existing security framework and can implement additional safeguards as needed. We also provide clear documentation of how data is used, stored, and protected throughout the process. All team members sign confidentiality agreements, and we conduct regular security audits.
Our process begins with a comprehensive assessment of your current operations and goals. We then identify the best opportunities for AI implementation and develop a customized strategy. Next, we create a proof of concept or pilot project to test our approach. Once validated, we move to full implementation, which includes system integration, team training, and ongoing support. Throughout the process, we maintain regular communication and provide progress updates. After launch, we offer continued monitoring and optimization services.
Costs vary based on project scope, complexity, and duration. Factors that influence pricing include the size of your organization, the number of processes being automated, data preparation requirements, and integration complexity. We offer flexible pricing models, including project-based fees and ongoing retainer arrangements. During our initial consultation, we provide a detailed cost estimate based on your specific needs and objectives. We also discuss ROI projections to help you understand the long-term value of your investment.
Absolutely. We specialize in creating flexible AI implementation plans that fit your budget. Our engagement models range from project-based and hourly rates to phased pilots, like a discovery sprint or Minimum Viable Product (MVP), ensuring we align with your financial scope. Share your budget range and goals with us, and we can propose a tailored plan with transparent scoping, clear milestones, and defined ROI checkpoints.
Of course. We specialize in phased AI implementation projects and offer flexible pricing models to match, including project-based, hourly, and milestone-based options. Our approach allows you to start with a contained pilot, such as a discovery sprint or MVP, to ensure alignment and demonstrate value early. Share your budget and project goals, and we can develop a tailored proposal with transparent scoping and clear ROI checkpoints.
Yes, we excel at facilitating use-case prioritization workshops designed to deliver a clear, actionable AI roadmap. Through structured discovery and stakeholder alignment sessions, we use proven scoring frameworks to evaluate potential use cases based on impact, feasibility, and risk. The result is a strategic plan that identifies quick wins and ROI-driven milestones. Share your team’s objectives and constraints with us, and we can tailor a workshop to fit your needs.
Yes, we offer affordable AI consulting services designed to modernize legacy systems by focusing on delivering maximum value without a large upfront investment. We use flexible engagement models like fixed-scope sprints, hourly advisory, and milestone-based projects, prioritizing high-ROI use cases and reusing existing infrastructure whenever possible. Share your budget range and goals with us, and we can propose a tailored plan, often starting with a small pilot like a discovery sprint or MVP to prove value quickly.