Software, Cloud and AI Engineering FAQ
Answers about Ampity's engineering services, engagement model, pricing approach, security, handoffs, and delivery process.
What kind of companies do you work with?
We work with technology-driven organizations that need production-grade software, cloud, AI, or platform engineering. Common situations include scaling a live platform, modernizing without disrupting operations, controlling cloud cost, moving AI into production, or stabilizing a system whose reliability has business consequences. The fit depends on the problem, decision access, delivery scope, and whether we can agree measurable acceptance criteria.
Do you provide developers or consulting?
Both. We start with the system, the decision to be made, and the result you need. The engagement may require an engineering team, a focused technical assessment, or both. When assessment and implementation are combined, the delivery team works from the same evidence, constraints, and acceptance criteria.
How is this different from a typical dev shop?
We define the expected result, acceptance evidence, responsibilities, dependencies, and change process before delivery begins. Senior engineers stay close to the work, and recommendations are tied to the system evidence available. If the requested solution does not fit the problem, we explain the tradeoff before committing to it.
How is this different from a consulting firm?
Our assessments are designed to support an executable decision. They include the evidence reviewed, assumptions, options considered, recommendation, risks, sequencing, and acceptance tests. Ampity can implement the recommendation, but the deliverable should also be usable by your own team or another delivery partner.
What if we just need engineers?
That can be the right scope. We first confirm the system context, responsibilities, required skills, decision access, and acceptance criteria. This helps us propose a team that fits the work instead of matching role titles in isolation.
What if we just need help with a decision?
Yes. A focused assessment can support a decision such as refactor versus rebuild, cloud cost analysis, AI readiness, architecture review, or technical due diligence. We agree the question, evidence required, deliverable, acceptance criteria, timing, assumptions, and access before the work begins. You can execute the recommendation with Ampity, your own team, or another partner.
How do you handle AI and agentic systems?
We work on LLM product integration, retrieval systems, agentic workflows, AI data pipelines, evaluation, guardrails, observability, and cost controls. Before implementation, we test whether the use case, data, operating controls, and economics justify an AI system. If a deterministic workflow is safer or simpler, we will recommend it.
What's your typical engagement timeline?
Timing depends on the decision, system, evidence, dependencies, and delivery scope. Before starting, we agree the expected result, acceptance criteria, milestones, client dependencies, review points, and change procedure. A focused first engagement can be useful when the problem or working relationship still needs to be tested.
What access do you need?
Access is limited to what the agreed work requires. That may include selected repositories, architecture records, delivery systems, cloud or observability views, and conversations with the people who own the system. Permissions, environments, data handling, retention, and review controls are agreed before access is granted.
How do you protect our intellectual property?
Confidentiality, intellectual-property ownership, access controls, approved tools, data handling, retention, and offboarding are defined in the engagement terms before work begins. Sensitive information is limited to the people and systems that need it for the agreed scope. Additional controls can be evaluated when the environment or contract requires them.
How do you price engagements?
Ampity uses an outcome-driven delivery model. The work, expected result, acceptance criteria, timing, assumptions, dependencies, change procedure, and commercial structure are agreed for each engagement. Payment is linked to accepted delivery under those agreed terms. Upfront fees, milestones, and payment timing depend on the engagement rather than one universal pricing rule.
What if we're not sure what we need?
Start with a short discovery call. Bring the decision, constraint, or production problem that prompted the conversation. We will clarify what evidence is available, what remains unknown, and whether a focused assessment or delivery scope makes sense. If Ampity is not the right fit, we will say so.
How do you handle handoffs?
Handoff requirements are part of the scope. Depending on the engagement, they may include architecture records, runbooks, code walkthroughs, paired delivery, operating procedures, training, and an agreed transition period. Decision work includes the reasoning, rejected options, assumptions, and signals that should trigger a review later.
What happens if it's not working?
The engagement defines review points, escalation contacts, acceptance criteria, and a change process. When scope, communication, staffing, or evidence creates a problem, we record it early, agree the corrective action, and review whether the engagement still makes sense. Exit and transition terms are governed by the signed agreement.