Clearer decisions,
better contact center performance.
For organizations with high-volume, multi-channel customer interactions: we improve CX and contact center performance through clearer decisions, smarter technology choices, and practical execution.
Tell us what you're facing.
A Resourcive advisor will reach out within one business day.
No cost to engage
Sourcing engagements come at no direct cost to you. We're compensated by the supplier ecosystem when you transact, whichever qualified provider you choose.
Multiple AI Use-Cases. Multiple AI Applications
Contact center AI isn't one technology decision, it's three, each solving a different problem.
We source and negotiate whichever combination fits your call volume and cost structure.
DEFLECTION
Virtual Agents
Handle routine, high-volume interactions end to end. In one recent engagement, a virtual agent ramped a 25-agent portfolio toward a 70% deflection ceiling, with a second rollout targeting 60% across two more business units.
HANDLE TIME
Agent Assist
Real-time guidance on every human-handled call and case, live from day one rather than waiting on deflection to ramp. In that same engagement, Agent Assist cut average handle time by roughly 15% immediately.
QUALITY & COACHING
Conversation Intelligence
Automated call scoring and coaching that catches what sampling-based QA misses. This is the same category of AI behind the 70% reduction in supervisor workload documented in our AI contact center modernization case study.
Three situations that bring CX and Operations
leaders to us.
If one of these sounds like the conversation happening inside your company right now, that's a strong indicator an engagement with us will be impactful.
“We can see the numbers moving the wrong way. What we can't see is why.”
Contact center performance problems without a clear cause.
Agents may lack the context or system access to resolve an issue on first contact. Staffing and forecasting may have been built without real workforce management discipline. Routing and queue rules are often inherited from years ago and never revisited, so nobody's quite sure why they still work the way they do.
What we bring: We separate symptom from cause, baseline the metrics leadership can already see, and quantify what the underperformance is actually costing. The result is a prioritized fix list that sorts what's actually going on into three buckets, process changes, staffing changes, and genuine technology gaps, so effort goes where it will actually move the numbers, not just where it's easiest to act.
Working hard just to hold baseline performance
Manual reporting, delayed QA, spreadsheet workforce planning, reactive coaching. Limited visibility makes it hard to see what's driving cost or performance variation. Meanwhile AI is discussed at the executive level, disconnected from the actual operational bottlenecks.
What we bring: baseline the operation, identify the workflows and system gaps creating drag, prioritize AI, automation, platform, WFM, and QA improvements by measurable value, then source and implement the right-fit technology and track it against clear operating targets.
“Our operations run on manual workflows and disconnected tools, and AI keeps coming up without a clear use case.”
“We're evaluating platforms, and every vendor demo looks great.”
Demos show what's possible, not what will work in your environment.
Platforms get evaluated before requirements, integrations, reporting expectations, AI use cases, and success metrics are defined. Finance, IT, Operations, and CX each define success differently. Wrong-fit decisions create underused tools, expensive integrations, and replacement conversations within a few years.
What we bring: requirements and decision criteria defined up front, vendors shortlisted on actual requirements, pricing normalized into comparable components, focused pilots where appropriate, then selection, negotiation, and implementation with a clear path to value.
When companies typically call us.
Any of these on your horizon is a reason to talk now, before the vendor process takes over.
CCaaS renewal or replacement window inside 6-18 months
AI mandate without clear use cases or success metrics
High repeat contact volume or low first-contact resolution
Low self-service containment
Rising cost per contact or cost to serve
High agent attrition or workforce management strain
Post-acquisition consolidation of customer operations
New CX or contact center leader inheriting the stack
Compliance pressure on customer interactions
CX and CCaaS decisions run on long cycles. Getting ahead of that timeline is the difference between a proactive decision and a reactive one.
What this looks like in practice.
A 10-month internally led CCaaS procurement had collapsed on a compliance requirement. We ran a structured process with IT, Operations, and Finance at the table, standardized bids to make data comparable, and landed 1,200+ agents on a unified, compliant cloud platform with deep CRM integration.
Read the case study →Aging on-prem platform with costly bolt-ons, replaced with cloud CCaaS and native AI: agent co-pilot, omni-channel, speech and sentiment analytics. Mini POCs per business division built stakeholder trust; 100% human touch retained; scalable from 1,200 to 2,000+ agents.
Read the case study →Three platforms, all meeting requirements, with the "enterprise-grade" brand emerging as the vendor-led favorite. We reset the evaluation to requirement-driven, normalized pricing into comparable components, and exposed a 40% cost gap the quotes had hidden in add-ons and integrations.
Read the case study →Three reasons clients choose us over platform vendors and single-purpose shops.
Vendor-agnostic, outcome-first guidance.
We're not incentivized to push one platform, AI tool, or provider. The experience, the operations, the stack, and the success metrics get aligned to your actual needs, not a vendor's roadmap.
Strategy, operations, technology, and execution, connected.
Experience-design-only engagements stop short of implementation. AI firms focus narrowly on automation. We connect journey problems, operational reality, platform decisions, and execution into one practical path.
A practical path to measurable improvement.
Define the issue, establish success metrics, select the right technology path, and support implementation, so the work translates into measurable improvement, not another strategy document.
CCaaS vendors sell what they provide. Experience-design engagements stop at the recommendation. AI firms see every problem as automation. We identify where journeys, operations, and technology decisions break down, then build a practical path to better performance and measurable outcomes.
It starts with a conversation, not a contract.
No statement of work to negotiate, no retainer to approve. The first step is a working conversation about your customer operations, what's driving cost, and what a win looks like, whether that's a platform decision, an AI question, or a journey problem.
- Align on the problem and the metrics
The business problem, the journeys, the operating requirements, and how success will be measured, before any vendor is in the room. - Evaluate against requirements
Baseline the operation, shortlist on actual requirements, run focused pilots where they'll change the answer, and normalize pricing so options compare honestly. - Negotiate and decide
Commercial negotiation from evidence. You choose the platform; we make sure the terms and the total cost hold up. - Manage implementation and stay
Implementation project management through go-live, then performance tracked against the operating targets you set at the start.
What's the contact center decision in front of you?
Tell us what you're facing and we'll tell you honestly whether and how we can help. No pitch, no commitment, no cost.
Tell us what you're facing.
A Resourcive advisor will reach out within one business day.
