Opportunity review
Rank 3–5 ideas on ROI, data readiness, and build effort — including when to skip AI.
- Baseline metrics
- Build vs buy
- Model & hosting advice
Engineers who wire OpenAI, Claude, or AWS Bedrock into workflows you can measure — chatbots, copilots, and document automation with human review where it matters.
Hiring AI developers from Evolva means use cases ranked by data readiness and effort, then shipped into HubSpot, Slack, email, or your admin panel. We apply the same discipline as our 250+ software deliveries: written milestones, staging you can try, and clear skip advice when a form rule beats a model.
Strong fits: drafting, classifying, summarizing, extracting fields from PDFs — with retrieval over your docs and guardrails on tool access. Weak fits: guaranteed arithmetic, unattended money moves, or replacing regulated judgment without a human in the loop. See also our AI overview and AI & Automation service.
Full-time or part-time seats, or a short project pod — always with a named lead, written scope for the first milestone, and code in your repositories from day one.
AWS-certified delivery available when the frontend ships with hosting, CI, and CDN — not just a zip of components.
Automation and LLM work scoped to metrics you can check.
Rank 3–5 ideas on ROI, data readiness, and build effort — including when to skip AI.
Bounded topics, source citations, and live-agent handoff with full context.
Extract structured fields from PDFs and forms into CRM or ops tools.
Token spend, eval sets, prompt versioning, and monitoring after pilot.
Practical LLM and automation talent — scoped to workflows you can measure, with clear advice when AI is the wrong tool.
Opportunity reviews rank use cases by data readiness and ROI. If a form rule wins, we say so before you burn budget.
HubSpot, Slack, email, admin panels — outputs land where people already work, with human handoff on money and compliance.
RAG over your docs, evals, redaction, and cost monitoring. Pilots graduate to production with a rollback plan.
Node, React, and AWS-certified delivery for the services around the model — same 250+ project discipline as the rest of Evolva.
Pick the model that matches your roadmap — change later if capacity needs shift.
One AI engineer (or a small pod) embedded in your Slack/Jira for ongoing product work — ideal when the backlog is continuous.
Discuss full-time →Fixed weekly hours for polish, migrations, or covering a gap while you hire permanently — still on your tools and calendar.
Discuss part-time →Fixed milestone plan: discovery, build, staging, handoff. Best for a known release (redesign, MVP UI, dashboard v1).
Discuss a project →Share stack, timezone, and the first 4–6 weeks of work. We propose seniority and engagement model.
Repo, design files, staging, and channels. Kickoff covers conventions, Definition of Done, and demo cadence.
PRs, reviews, and weekly staging demos. You stay the product owner; we stay accountable for delivery quality.
Add seats, convert to project wrap, or document exit so your team owns every line.
Straight answers before you open a seat.
Next step — name one workflow to measure and we will say build, buy, or skip.