Step 1
Discover
Frame the business problem, agree on a measurable outcome, map stakeholders, and inventory the data and constraints that matter. We leave this phase with a shared brief and quantitative definition of success.
Approach
Our approach to shipping AI
Accelyze was built by leaders who have taken AI from prototypes to systems used by millions. Our method focuses on the messy middle, alignment, architecture, integration, and operations.
Step 2
Design
Translate the brief into an end-to-end architecture, covering retrieval, reasoning, evaluation, guardrails, and integrations. We run discovery sessions with risk, security, and platform teams to ensure zero surprises later.
Step 3
Deliver
Ship working software on your infrastructure, integrate with your systems of record, and harden the solution with monitoring, evaluation, and incident playbooks. Every sprint produces tangible artifacts, not just slides.
Step 4
Operate
Support launches, run readiness drills, and transfer ownership to client teams. We enforce ongoing evaluation, track business KPIs, and provide clear paths for iteration once the system is live.
Deep dive
Regulated industries
Healthcare, finance, and public sector teams rely on us for guardrails that meet compliance requirements while still delivering value.
Explore →Deep dive
Platform enablement
We build shared services, templates, and evaluation tooling so every new AI project doesn’t start from zero.
Explore →Deep dive
Delivery playbook
See how our four-step methodology spans from use-case discovery through production runbooks.
Explore →Need a partner focused on production outcomes?
Tell us about your use case, stakeholders, and success metrics. We’ll confirm feasibility, risks, and a path to launch.
Talk to us about your next initiative