- What AI and software consulting services do you offer?
- We help teams plan, build, and scale AI-powered software. Our core offerings include AI strategy & roadmaps, GenAI product development (LLMs, RAG, copilots), AI automation & agents, data engineering & MLOps, AI governance & risk, and modern software engineering.
- How do you scope an AI project?
- We start with a short discovery to define the business goal, success metrics, constraints (data, security, compliance), and the fastest path to a measurable outcome. Then we turn that into a clear scope, delivery plan, and a set of concrete artifacts (architecture, implementation plan, backlog, and milestones).
- How long does it take to deliver value?
- Most teams see meaningful progress in 2–4 weeks (discovery, prototypes, and early integrations). Production releases typically take 4–12+ weeks depending on data readiness, integration complexity, and the target reliability/security bar.
- Do you build production systems or prototypes?
- Both. We often start with a prototype to validate the approach quickly, then harden it into a production-ready system with proper security, evaluation, monitoring, and operational runbooks.
- What kinds of AI solutions do you build?
- Common solutions include internal copilots, customer support automation, document intelligence, workflow orchestration with agents, search and retrieval systems, forecasting/optimization pipelines, and AI-enriched data products.
- Can you integrate with our existing stack?
- Yes. We regularly integrate with CRMs, ERPs, data warehouses, internal APIs, identity providers (SSO), and common SaaS tools. We design with maintainability in mind so your team can own the system long-term.
- How do you handle data privacy, security, and compliance?
- We design solutions around least-privilege access, data minimization, auditability, and secure deployment patterns. Where needed, we help implement guardrails like PII redaction, policy-based access, prompt/response filtering, and human-in-the-loop workflows.
- Do you provide MLOps and ongoing support?
- Yes. We can implement CI/CD for ML, automated evaluations, model and data monitoring, and incident response playbooks. We also offer retainers for ongoing improvements, reliability, and feature work.
- What does pricing look like?
- We offer fixed-scope builds for well-defined deliverables, and retainers for ongoing AI delivery. We’ll recommend the simplest pricing model after discovery so scope, timeline, and expectations are clear.
- Do you work with teams outside Pennsylvania?
- Yes. We work with teams across the United States and run projects effectively with async communication plus lightweight weekly touchpoints.
- What makes Wixenco different?
- We combine strong product thinking with hands-on engineering. Our focus is shipping usable systems—not slide decks—and making sure you can measure outcomes, operate safely, and iterate quickly.