Your customers are waiting on hold while your best agents reset passwords
Stop losing after-hours leads, paying the bilingual premium, and reviewing five calls a week per rep. We broker the best-fit AI for your contact center and service desk, wrap it in real security, and run it end-to-end on the CCaaS, CRM, and ITSM you already own.
Heavy AI investment, and you still can't see why customers call
Callers abandon during peak while agents drown in password resets, VPN tickets, and routine questions that never needed a human. After-hours and overflow calls go unanswered — every missed one a lost lead. Quality is a guess: a handful of reviewed calls per rep, coaching that arrives too late, no visibility across in-house and BPO teams, and feedback scattered across calls, chats, surveys, and social that nobody has time to read.
The case, in numbers
Brokered to fit your stack, not the other way around
Going direct locks you into whatever one vendor sells, and you bend your operation around their product. We stay vendor-neutral: we run discovery across your stack, channels, languages, and pain points, broker the best-fit platform from a deep bench, and own implementation, integration, and ongoing tuning as a single accountable partner.
Start from your own data
A discovery pass over your historical tickets and interactions ranks what to automate first by volume, feasibility, and business impact — so you get a prioritized roadmap with the ROI case built in before anyone builds.
Security and governance as a precondition
On-device PII/PCI redaction, encryption in transit and at rest, zero-data-retention terms with AI/LLM providers, least-privilege integrations, and explainable answers with source citations — all aligned to SOC 2, HIPAA, PCI-DSS, and GDPR.
Layer onto what you already run
Agent-assist, real-time transcripts, automated summaries, noise and accent clarity, voice translation, and conversational analytics overlay your existing CCaaS, CRM, and ITSM — no workflow redesign, nothing to rip out.
Close the quality loop
Move from a handful of manually reviewed calls to AI scoring of 100% of interactions, with insights feeding coaching across both in-house and BPO teams. Translation and voice quality get the same auto-scoring, so quality is auditable, not assumed.
Agents with guardrails, not just chatbots
Hallucination controls, 'I don't know' fallbacks, post-deployment QA, and clean human handoffs with full context when stakes are high. The AI is scoped to what it can prove and escalates where judgment matters.
Managed end-to-end
We unify CRM, CCaaS, WFM, and QM into dashboards leadership can trust, and run it as an extension of your team — so a lean IT/ops group delivers enterprise-grade CX without adding headcount.
The architecture, simplified
From ad-hoc to optimized
The free evaluation places you on this maturity curve and maps the climb.
- L1 · Ad-hoc / Reactive — Manual, human-only contact center. After-hours and overflow calls go unanswered; QA is a handful of manually-reviewed calls per rep; multilingual support depends on bilingual hires and per-minute language lines. No conversational analytics — feedback scattered across calls, chats, surveys, and social with nobody reading it. No AI governance posture. (NIST CSF: Identify/Protect largely absent.)
- L2 · Point Tools / Siloed — Isolated pilots and bolt-ons appear — a basic chatbot, a single agent-assist feature, or noise cancellation — but CRM, CCaaS, WFM, and QM remain siloed with no single source of truth. GenAI pilots stall without an ROI case. Security/compliance handled per-tool and inconsistently. (NIST CSF: partial Identify; ad-hoc Protect.)
- L3 · Defined / Integrated — AI layered onto existing CCaaS without ripping it out: real-time transcripts, automated summaries, on-device PII/PCI redaction, and a prioritized automation roadmap built from historical ticket/interaction data. Human-in-the-loop escalation and 'I don't know' fallbacks defined. Compliance aligned to SOC 2/HIPAA/PCI-DSS/GDPR. (NIST CSF: Identify + Protect established, Detect emerging.)
- L4 · Managed / Measured — Automated QA scores ~100% of interactions feeding coaching across in-house and BPO teams; translation and voice quality auto-scored and auditable. Conversational analytics surface the 'why' behind contacts and route insights to product/ops. Unified dashboards replace gut-feel decisions. Agentic AI executes multi-step workflows within set guardrails. (NIST CSF: Detect + Respond operational.)
- L5 · Optimized / Adaptive — Continuous, brokered best-fit optimization across the CX/EX estate. AI proactively prevents issues (root-cause discovery, proactive reminders, dispatch optimization), multilingual and accent clarity are always-on capabilities, and governance is provable and continuously improving with zero-data-retention terms and full audit trails. Managed end-to-end as an extension of the team. (NIST CSF: Recover + adaptive Govern loop closed.)
Outcomes, not vendor brochures
- Answer 100% of inbound calls, including after-hours and overflow, so missed calls stop becoming lost revenue
- Score 100% of interactions for QA and route insights straight into coaching across in-house and BPO teams
- Support customers and employees in 80+ languages without paying the bilingual premium or per-minute language-line fees
- Deflect repetitive IT and HR tickets — password resets, VPN, access requests, payroll — without adding headcount
- See the real root causes behind why customers contact you, pulled from calls, chats, emails, surveys, and social
- Cut handle time and repetition by clearing accents and background noise at the agent's desk
- Replace siloed CRM/CCaaS/WFM/QM tools and gut-feel decisions with one trusted source of truth
Outcome patterns from across the industry
Outcome patterns from across the industry — the shape of results vendor-neutral delivery produces.
- 95% of generic GenAI pilots fail to deliver value, most because they start from a tool looking for a use case rather than the buyer's own data.
- AI-powered automated QA can move a contact center from 3-5 manual reviews per rep to scoring 100% of interactions.
- Real-time, bidirectional AI speech translation now supports 80+ languages, reducing reliance on bilingual hires and per-minute language lines.
- Secure conversational AI uses on-device PII/PCI redaction, zero-data-retention terms, and explainable citations aligned to SOC 2, HIPAA, PCI-DSS, and GDPR.
- Modern no-code agentic AI platforms deploy in days, not months, with typical time-to-value of weeks rather than six-figure custom builds.
Frequently asked
95% of GenAI pilots fail — why would ours be different?
How do we keep AI from hallucinating or leaking data on critical IT, HR, and customer questions?
Doesn't a real AI agent mean months of work, six-figure setup fees, and tying up our developers?
We just invested in our CCaaS and CRM — do we have to rip it out?
Automated QA sounds like surveillance, not improvement.
Why use a broker instead of going direct to an AI vendor?
Don't AI voice agents sound robotic, and customers hate them?
Find out what to automate first — for free
We start with a free IT and security evaluation: a vendor-neutral discovery pass over your stack, channels, languages, and pain points that ranks what to automate first by volume, feasibility, and business impact, with the ROI case built in before anyone builds. No product pitch, no rip-and-replace.