Enterprise AI · Automations · Quality
We put AI on the repetitive work across your teams: agents on your stack, end-to-end process automation, voice support, and call quality that scores every interaction.
What we do
Either path starts with a scoped discovery and a fixed-price plan, so you see the number before you commit. We build on your stack, keep humans in the loop where judgment matters, and leave you owning the system.
Path A
A governed AI layer your whole company works in—assistants and agents tuned per function, connected to your tools, with access control and an audit trail.
Path B
Pick a repeatable, high-volume workflow and we automate it end to end—agents handle the inputs and escalate judgment calls—shipped into production with a clear payback line.
Agents that read your inputs, do the work, and escalate when judgment is needed—wired to your CRM, tickets, databases, and internal APIs under policies you set.
Automated scoring on every interaction—voice and chat—with accuracy checks, conflict flags, and sales insights supervisors can act on immediately.
Customer-facing voice automation that answers the line, troubleshoots common issues, logs tickets in your CRM, and hands off anything urgent to a person—day and night.
Replace email-and-spreadsheet workflows with reliable pipelines—order routing, scheduling, compliance file checks, email triage, and cross-system sync that survives edge cases.
Turn policies, contracts, and internal docs into searchable answers and draft outputs—RAG over your corpus, copilots in Slack or Teams, and extraction that feeds your systems.
Senior, AI-fluent engineers on your team when you need capacity fast—LLM and agent work, computer vision, voice, or a struggling AI build rescued and hardened.
Call quality control
eiajus delivers automated call scoring, accuracy checks, conflict and unanswered-question detection, quality scoring, and sales optimization—on 100% of voice and chat, not random samples.
Whether you run an in-house contact center or a BPO, our call quality control platform integrates with your CRM, QA tools, and recording systems so programs scale without more manual reviewers.
How we work
Three phases: map the wins and fix the price, build on your stack with humans where judgment matters, then stay on for evals, monitoring, and the next use cases. Typical path to production is about 90 days.
Weeks 1–3: map the process or use cases, pick the wins, and return with a fixed-price plan and a payback line.
Weeks 4–10: build on your stack, connect systems, keep a human in the loop where mistakes are costly, and train the team.
Ongoing: evals, monitoring and an SLA, plus new agents and use cases as the value compounds.
Where we help
Tell us where you're starting—company-wide rollout or one process to fix. We'll respond within one business day.
Prefer email? info@eiajus.lt