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Grounded answers, not guesswork
RAG pipelines, source citations, and escalation paths so copilots stay tied to your docs — not inventing policy.
Evolva Solutions
We scope, pilot, and productionize chatbots, copilots, RAG search, agents, and workflow automation — wired into your web, mobile, and CRM stack on AWS when infrastructure matters.
AI earns its place when it removes a measurable job — tickets, intake, search, drafts — inside tools your team already opens. We start there, not with a model pitch deck.
We build features your team will use — and we say when a simpler rule or better UX is the better first step.
RAG pipelines, source citations, and escalation paths so copilots stay tied to your docs — not inventing policy.
Bedrock, APIs, and app hosting in accounts you control — Solutions Architect certified delivery.
Embed into web, mobile, HubSpot, Slack, and admin tools — not a detached demo that never ships.
Validate on real data and a measurable workflow before you commit a multi-month roadmap.
Logging, quality checks, and iteration so models and prompts do not silently degrade.
Repos, cloud, and keys in your org from day one — written scope, weekly demos, clean handover.
From opportunity review to live automations — one squad for design-through-cloud when you need it.
Identify high-impact workflows, check data readiness, and define success metrics before you spend on build.
Short pilots on real samples so you see accuracy, latency, and ops cost before scaling.
Full features inside your product — copilots, assistants, and intelligence layers with proper UX and auth.
Document intake, email triage, report drafts, and ops handoffs that remove repetitive work.
Connect LLMs to CRM, knowledge bases, APIs, and internal tools your team already opens every day.
Customer and staff assistants with context, escalation, and human review where money or compliance matters.
Multi-step agents that retrieve, reason, and act inside guarded tool boundaries you define.
Prompt and model updates, quality monitoring, and retraining plans as your data and traffic change.
Capabilities matched to real jobs — not a laundry list of buzzwords.
Focus
Content, summaries, and knowledge work assistants inside your product or ops tools.
We pick the right model for the job — then wire it into your product and AWS footprint.
From scoping and PoC to production and follow-on support — replace these slots with projects you are ready to share.
Short summary of the problem, what you built, and who it served. Keep to 2–3 sentences.
Outcomes
Short summary of the problem, what you built, and who it served. Keep to 2–3 sentences.
Outcomes
Short summary of the problem, what you built, and who it served. Keep to 2–3 sentences.
Outcomes
Domain-aware starting points — deepen on our industries page when you are ready.
Open delivery — you see the plan, the staging build, and the metrics before go-live.
Map the workflow, data access, risk, and whether AI beats a simpler fix.
Clean sources, permissions, and evaluation sets so quality is measurable.
Models, prompts, tools, and UX inside your product and cloud accounts.
Weekly demos, accuracy checks, and human-in-the-loop where it matters.
Production rollout with logging, rate limits, and clear ownership.
Watch quality, cost, and usage — then improve prompts, retrieval, or models.
What teams usually ask before we start a pilot.