Estimate the value of automation before committing to a build.
A useful automation business case compares the time or operating cost a workflow can realistically save with the cost of building, running and maintaining it. Include exceptions, adoption and ownership so the estimate supports a decision instead of promising a return.
An example journey, shaped around your requirements.
Build a transparent business case.
Measure the current workflow first.
Choose a repeatable task and describe its start, finish, owner and exceptions. Observe several representative instances where practical. Record volume and hands-on time separately from waiting time: automation may reduce one without reducing the other.
If the process is unclear, stabilise it before estimating a build. A workflow with inconsistent inputs or unclear approvals may automate mistakes faster. Document the source systems, the data used and the steps that still require a person.
Estimate recoverable time rather than theoretical time.
A starting formula is monthly recoverable hours = tasks per month × minutes saved per task ÷ 60 × adoption rate. Use a realistic saving after allowing for checking and exception handling. Adoption reflects the proportion of work that will actually use the new process.
For a hypothetical example, assume 600 tasks per month, four minutes saved per task and 75% adoption. That gives 30 recoverable hours per month. These inputs are illustrative, not Softglimmer client results or a prediction for your business.
Convert time to value carefully.
If you need a monetary comparison, use an internal fully loaded hourly cost or another value approved by your finance team. Multiplying 30 hypothetical hours by an assumed internal rate of ₹500 gives ₹15,000 of time capacity per month. That is not necessarily cash saved: staff costs may stay the same while capacity is used elsewhere.
Subtract recurring tools, hosting, support and expected exception costs to estimate net monthly operating value. For an international team, use one agreed currency and the same cost basis throughout. Avoid mixing a local rate with costs measured in another currency.
Include the full delivery and operating cost.
The initial cost can include discovery, implementation, data cleanup, integrations, training and migration. Running costs can include subscriptions, usage-based fees, monitoring, maintenance and human review. Ask suppliers to explain which costs are in scope and which are paid directly to third parties.
A simple payback estimate is initial cost divided by positive net monthly operating value. If a hypothetical initial cost is ₹90,000 and net monthly value is ₹10,000, simple payback is nine months. This ignores financing, tax, time value and changing usage; it is a screening calculation, not an investment guarantee.
Pilot the riskiest assumption and assign ownership.
Compare conservative, expected and optimistic inputs, then identify the assumption that changes the decision most. Run a small, reversible pilot where possible. Check data quality, exceptions, human approvals and whether the team actually uses the workflow.
Name an owner for monitoring and failed runs. Keep a fallback path and an understandable record of what happened. Measure the pilot against the baseline before expanding. If the workflow touches consequential decisions or sensitive information, add project-specific review and controls with the responsible specialists.
The hypothetical calculation.
These numbers demonstrate the method only. Replace every assumption with inputs from your workflow.
Step
Illustrative inputs
Result
Limit to remember
Recoverable time
600 tasks × 4 minutes ÷ 60 × 75%
30 hours per month
Assumes the saving includes human review
Capacity value
30 hours × ₹500 internal hourly cost
₹15,000 per month
Capacity is not automatically cash savings
Net operating value
₹15,000 minus ₹5,000 recurring costs
₹10,000 per month
Include subscriptions, support and exceptions
Simple payback
₹90,000 initial cost ÷ ₹10,000 net value
9 months
A screening estimate, not a promised return
Questions before you begin.
What if the main benefit is fewer errors?
Estimate that benefit separately using evidence about error frequency, impact and review effort. Avoid assigning a monetary value without an agreed basis, and do not count the same benefit twice.
Can AI automate every step?
No. Assess the task, reliability needs and exception cases. Use human approval where needed and include the ongoing cost of checking outputs. The business case should reflect actual usable behaviour.
When should we choose an existing tool?
Compare a suitable existing product with a custom workflow on requirements, integration, ownership and total operating cost. A custom build needs a clear reason beyond a preference for new software.
