Shared Services & BPO

You manage capacity across clients.
But you can’t see where
that capacity is actually going.

Bramble maps shared services and BPO operations to reveal where FTE productivity is underutilized, where SLA friction compounds across client contracts, and where workload imbalances inflate cost per transaction — then drives sustained improvement at scale.

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Cost per FTE scrutinyClient margin pressure
30–45% annual attritionContinuous capacity loss
Multi-client complexityDifferent SLAs, same teams
Multi-Client Utilization — Capacity MapLive analysis
ProcessingContact CtrBack OfficeQATraining
Client A
91%
78%
64%
82%
58%
Client B
62%
48%
67%
61%
42%
Client C
74%
88%
51%
76%
63%
Client D
59%
66%
44%
53%
89%
Client B back-office and Client D processing are operating below 50% utilization. Rebalancing 40 FTE-hours across these functions recovers $380K annually without additional headcount.
Avg FTE Utilization67%33% capacity gap
SLA Compliance88.4%Target: 95%
Cost Per Transaction$3.84+$0.62 vs bid
Purpose-built for
InsuranceBanking & Financial ServicesHealthcare PayersShared Services & BPO
Projected for Shared Services Operations
15–30%
FTE productivity improvement
25–40%
Cost per transaction reduction
8×+
Year 1 return on investment
<90d
Time to measurable operational impact
The Operating Reality

Shared services teams manage growing complexity — with shrinking margin for error

Client expectations rise. Attrition erodes capacity. Volume fluctuates unpredictably. But the tools meant to manage this complexity still show you what happened, not where capacity is being lost or how to recover it.

30–45%

Annual agent attrition

Every departure costs 4–6 months of productivity. At scale, attrition is not an HR problem — it's a continuous capacity drain that SLAs absorb silently.

±35%

Volume variability across clients

Demand spikes and troughs across client contracts never align. Fixed staffing models mean simultaneous overcapacity on one book and SLA misses on another.

4–8

Client contracts per ops team

Different SLAs, quality standards, compliance requirements, and reporting cadences — managed by the same people using the same tools with no unified capacity view.

62–70%

Average FTE utilization

The remaining 30–38% isn't idle time — it's friction. Rework, system navigation, training absorption, quality remediation, and untracked non-productive activity.

The Visibility Gap

Your dashboards show SLA compliance. Not why some teams chronically miss.

Traditional reporting shows SLA compliance, handle times, and productivity by agent or team. But it doesn't reveal where capacity is underutilized across clients, why some teams have chronic SLA misses, or what causes quality score variation across similar work.

“We had real-time dashboards for every client. We still couldn’t tell you why Team 3 was missing SLAs when Team 5 — doing the same work — was hitting 98%. The data told us what. Never why.”

— SVP Operations, Global BPO Provider
Traditional Reporting
SLA compliance by client
Average handle time per agent
Quality scores and error rates
Headcount and FTE allocation
Bramble Reveals
Where capacity sits idle on one client while another misses SLAs
Why handle time varies 2–3× across teams doing identical work
Which quality failures trace to training gaps vs process friction
What to improve next — and whether it sustains across contracts
Where Bramble Works

Built for the workflows that define shared services operations

Bramble maps operational performance across contact centers, back-office processing, quality assurance, and capacity planning — revealing friction that traditional reporting treats as a black box.

Multi-Client Workload Distribution

Map FTE allocation and utilization across client contracts in real time. Reveal where capacity sits idle on one book while SLAs slip on another — and quantify the rebalancing opportunity.

Cross-client imbalance±28%
SLA miss correlation82%
Recoverable capacity18–25%

Contact Center Handle Time

Baseline handle time distributions across teams, inquiry types, and client contracts. Surface the process friction, system navigation delays, and knowledge gaps that inflate average handle time beyond target.

AHT variance (same work)2.4×
Top friction sourceSystem nav
AHT reduction potential15–22%

Back-Office Processing

Map processing workflows across claims, data entry, document management, and reconciliation. Quantify where rework, handoff friction, and process variation inflate cost per transaction beyond bid.

Rework rate18%
Process variation±32%
Cost over bid+16%

Quality Assurance Patterns

Map quality failure patterns across teams, processes, and client contracts. Separate training-driven errors from process-driven errors to prioritize interventions that improve scores without capacity trade-offs.

Quality score range72–96%
Training-linked errors41%
Process-linked errors59%

Training Effectiveness

Measure the operational impact of training programs: time-to-proficiency, quality ramp, and productivity curves for new hires. Quantify where training gaps translate into capacity loss and SLA risk.

Time to proficiency12–16 wks
New hire productivity58% of target
Attrition capacity cost$8.2K/FTE

Capacity Planning & Forecasting

Replace static FTE allocation with dynamic capacity insight. Understand how volume variability, attrition, and training pipelines interact — and plan capacity with operational precision instead of spreadsheet assumptions.

Forecast accuracy±22%
Over-staffing cost12% of budget
Improvement±8% target
How Bramble Works for Shared Services

From baseline to sustained improvement in 90 days

Bramble connects to your WFM, telephony, processing, and quality systems to build a trusted operational baseline — then reveals where capacity is being lost and establishes the rhythm to recover it across every client contract.

Days 1–30

Establish Baseline

Bramble connects to WFM, ACD/telephony, processing platforms, and quality systems to build a trusted operational baseline across all client contracts — no process mapping required.

Workload distribution mapped across clients and teams
Agent productivity and utilization measured per contract
Handle time and quality baselines established
SLA compliance tracked with root cause visibility
Days 31–60

Reveal Operational Friction

Surface the hidden workload imbalances, capacity gaps, and quality patterns that cause chronic SLA misses and inflate cost per transaction across client contracts.

Workload imbalances across teams identified
Capacity gaps during volume spikes revealed
Quality failure patterns separated: training vs process
Process variation across similar work surfaced
Days 61–90

Execute & Track

Targeted interventions launch in priority order. Utilization, SLA performance, cost per transaction, and quality scores are measured continuously across all client contracts.

Workload rebalanced across capacity and contracts
Handle time optimized without quality trade-offs
SLA performance sustained above contract thresholds
Cost per FTE reduced with improvement cadence in place
Multi-Client Scalability

One system. Every contract. Unified capacity visibility.

Bramble doesn't require separate implementations per client. A single deployment maps operational performance across all contracts, teams, and service lines — revealing cross-client capacity opportunities that per-contract reporting can never show.

SLA Performance × Capacity Alignment
Client A — Proc
96.2%
Client A — CC
94.1%
Client B — Proc
88.4%
Client B — CC
78.9%
Client C — Proc
95.0%
Client D — BO
86.1%
Projected Outcomes

Modeled from cross-industry deployment data and shared services benchmarks

Based on measured results across enterprise operations deployments. Specific shared services case study metrics will replace these projections.

Projections based on cross-industry deployment data. We’ll validate these benchmarks with your specific operational data during the ROI assessment.

22%
Agent productivity improvement
Projected from friction reduction, workload rebalancing, and process standardization.
$3.84 → $2.90
Cost per transaction reduction
Projected from rework elimination, handle time optimization, and capacity recovery.
88% → 96%
SLA compliance improvement
Projected from cross-client workload rebalancing and capacity gap elimination.
18%
Handle time reduction
Projected from system navigation streamlining and knowledge gap closure — without quality impact.
40%
Attrition capacity impact reduction
Projected from faster time-to-proficiency and operational rebalancing during ramp periods.
±28% → ±9%
Workload distribution variance
Projected from dynamic capacity visibility and cross-client rebalancing.
Shared Services Operations

See where your service delivery is losing capacity

We'll map your multi-client operations, identify friction across contracts and teams, and show you the operational improvement path — with shared services benchmarks.

Book a DemoStart ROI Assessment

For COOs, VP Operations, and Service Delivery Leaders