Building the business case for accent translation
A practical way to connect clearer conversations to operating value, without treating every second saved as money back in the budget.
Published
The short answer
A credible accent translation business case connects a measured communication problem to an operational change and then to a financial result. Keep released capacity, cash savings, and customer experience outcomes separate.
Start with the cost of the problem
Identify the queues where repeated clarification or difficulty understanding a conversation is affecting service. Review representative calls alongside operational data; a long call alone does not show that pronunciation was the cause.
Record call volume, average handle time, transfers, repeat contacts, and the cost of the relevant workload. Define which calls and time period the baseline includes. Use the same definitions when measuring the pilot.
Keep the population realistic. If only one queue is eligible, do not multiply its expected benefit by the volume of the entire contact center.
Separate three kinds of value
Better communication can matter in several ways. A financial model becomes more useful when it shows which benefit is being counted and how it will be realized.
Released capacity
Less time spent repeating information may free agent time for other work. This is an operating benefit, but salaries do not automatically fall when a call gets shorter.
Cash or avoided cost
Reduced overtime, less outsourced overflow, or an evidenced reduction in future hiring can create financial value. The workforce plan and actual demand determine whether this happens.
Customer and agent experience
Satisfaction, fewer communication-related complaints, and agent confidence belong in the decision. Do not convert them into revenue without evidence connecting the measure to a financial result.
Include the full cost of the program
Use an actual commercial quote, not a public customer result, to estimate license and service costs. Add implementation, endpoint or integration work, security review, training, support, and the effort needed to operate and measure the rollout.
Show one-time and recurring costs separately. For a monthly comparison, state whether setup costs are excluded or allocated over a defined period. For payback, compare cumulative realized financial benefits with the full costs incurred over time.
- Match license coverage to eligible agents, shifts, and the proposed rollout.
- Account for internal staff time as well as supplier invoices.
- Include ongoing quality checks, support, and reporting.
- Use a conservative adoption assumption until the pilot supports a wider rollout.
An illustrative capacity calculation
The following numbers are invented to explain the calculation. They are not Sanas pricing, a customer result, or a forecast. The monthly program cost is an assumed all-in allocation, including setup, for this example only.
| Input or calculation | Illustration |
|---|---|
| Eligible calls | 60,000 |
| Assumed reduction per call | 15 seconds |
| Released time: calls x seconds / 3,600 | 250 hours |
| Assumed fully loaded hourly cost | $24 |
| Notional capacity value: hours x hourly cost | $6,000 |
| Assumed allocated monthly program cost | $4,000 |
| Capacity value less program cost, not cash profit | $2,000 |
Use pilot evidence to replace assumptions
Measure whether clearer conversations are actually changing the workload in the chosen queues. Check resolution, quality, and satisfaction alongside handle time, so a shorter call is not mistaken for a better outcome when it produces a repeat contact.
Run a conservative, expected, and stronger case. Change eligible volume, adoption, measured time reduction, and the portion of capacity that can be used productively. Include a no-improvement case so the cost of an unsuccessful rollout is visible.
A published Sanas consumer credit case describes a controlled pilot across two BPO partners and reports a 20-second reduction in average handle time. That is evidence from a specific deployment, not a transferable assumption for your operation. Use your own baseline and pilot to build your forecast.
Read the consumer credit customer storyGive the decision-maker an auditable case
A useful proposal makes its assumptions easy to challenge. Put the customer and agent experience next to the financial model, and explain what must happen operationally for the model to hold.
- The communication problem, eligible population, and baseline period.
- Pilot results, comparison method, and known limitations.
- Program costs, rollout timing, and the owner of each cost estimate.
- The workforce or service plan that converts capacity into value.
- Quality and agent-experience conditions that must remain acceptable.
- A go, extend, or stop decision with a date for reviewing actual results.
Further reading
Common questions
Choose a time period, subtract total program costs from the financial benefits actually realized in that period, and divide by those costs. Establish which benefits are cash savings, avoided costs, or evidenced revenue effects. Report released capacity separately unless there is a defensible way to realize its value.
No. It can release capacity without changing payroll or other expenses. Savings depend on how staffing, overtime, outsourced work, or future hiring changes. Resolution and repeat contacts should also be checked before treating shorter calls as a benefit.
Use case studies to understand possible outcomes and evaluation methods, not as guaranteed inputs. Queue mix, baseline performance, adoption, and operating costs differ. A representative pilot is a stronger basis for your forecast.
Include quoted software and service costs, implementation, internal staff time, training, security review, support, and ongoing measurement. Separate one-time costs from recurring costs and explain any allocation used in a monthly model.
No. Every number in the example is hypothetical and illustrates the method only. Ask Sanas for a quote scoped to your deployment and use measured pilot results to estimate benefits.
Build a case for your operation.
Discuss your queues, deployment requirements, and evaluation goals with Sanas.