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Workflow automation.

Automation for repetitive business processes, data movement, notifications, reporting, document generation, and reconciliation.

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What this covers.

Included

  • Mapping the process as it actually runs, before automating any of it
  • The automation itself: syncs, follow-ups, notifications, documents
  • Integrations between the tools you already pay for
  • Failure alerts, so a broken automation is reported rather than silent
  • A log of what ran, what it changed, and what it skipped
  • Handover notes, so the process can be maintained without us

Not included

  • Subscription costs for the tools being connected
  • Redesigning a process that does not yet work manually
  • Data entry backlogs from before the automation
  • Staff training on the underlying tools themselves

What automates well

Automation works best for repeatable processes with defined inputs, rules, and outputs. Processes that rely on judgement, or that regularly produce exceptions, may need a human review step rather than full automation.

The first step is mapping the process as it actually runs, including the exceptions people handle without noticing they are exceptions. A process that is unclear on paper does not become clearer once it is automated; it becomes harder to inspect.

Implementation options

Implementation can use existing automation platforms such as Zapier or Make, direct API integrations, or custom software, depending on reliability, volume, security, cost, and maintenance requirements.

Each has a different cost profile. A platform is quick to set up and carries a subscription that scales with volume. A direct integration costs more to build and less to run, and it keeps the data inside systems you already control. Which fits is decided against the volume, the sensitivity of the data, and how long the process is expected to stay as it is.

M-Pesa reconciliation

This is the automation asked for most often, so it is worth describing exactly. Payments arrive as M-Pesa transactions against a paybill or till. Orders live in a store, a spreadsheet, or a book. Matching the two is a daily task and a larger month-end one.

Automated, the pipeline pulls the statement, matches each payment to an open order by amount and reference, marks the matched ones settled, and puts anything unmatched into an exceptions list for a person. The exceptions are the point of the design. Partial payments, duplicates, and wrong references are surfaced for a decision rather than resolved by a guess, and a daily digest reports what settled and what is waiting.

Reliability and monitoring

Production automations can include structured logs, retry rules, error handling, monitoring, and alerts appropriate to the workflow. What is logged, what is retried, and who is alerted are agreed during scoping.

A record of what ran, what it changed, and what it skipped is part of the delivery. It makes the process auditable, and it means a later change does not require reverse-engineering the original build.

Scope

Automation is scoped against a specific process rather than a general programme of work. Starting with the highest-volume process produces a measurable result and a basis for deciding whether to extend it.

What is being measured, hours, error rate, turnaround time, is agreed before the build, so the result can be checked against it afterwards.

What you get

Process Automation

The process mapped as it runs, then implemented with defined inputs, rules, outputs, and exception handling.

Follow-Ups

Scheduled and triggered follow-ups and reminders, sent on the conditions you define.

Data Syncing

Records kept consistent between systems, with a defined source of truth and rules for conflicts.

Messaging Flows

Order confirmations, reminders, and status updates on messaging channels, subject to each platform's rules.

Notifications

Internal alerts routed to the right person or channel when a defined condition is met.

Document Generation

Invoices, quotes, statements, and reports generated from your data, on a schedule or a trigger.

How the project runs.

01

Initial discussion

The process as it runs today, its volume, its exceptions, and what you need it to produce.

02

Scope and proposal

Inputs, rules, outputs, error handling, implementation approach, timeline, and pricing.

03

Design and development

Built and tested against your real data, including the exception cases.

04

Testing and launch

Switched on with logging, monitoring, and alerts, plus handover notes for the process.

Common questions

What kind of tasks can be automated?
Repeatable tasks with defined inputs and rules: sending emails and reminders, generating invoices and reports, syncing records between systems, updating spreadsheets, and reconciling payments. Tasks that depend on judgement usually keep a human review step.
Do I need special software?
It depends on the workflow. Existing platforms such as Zapier or Make suit simpler cases; higher volume, tighter security requirements, or unusual rules point toward a direct API integration or custom software. The comparison is part of scoping.
How quickly will I see results?
That depends on the volume and the process being automated. We agree what is being measured, hours, error rate, or turnaround time, before the build, so the result can be checked against it afterwards.
What if an automation breaks?
Automations include error handling, retry rules, logging, and monitoring alerts, so a failure is surfaced immediately. What is retried and who is alerted is agreed during scoping.
Can you automate M-Pesa reconciliation?
Yes. The pipeline matches M-Pesa payments to open orders by amount and reference, marks the matched ones settled, and puts partial payments, duplicates, and wrong references into an exceptions list for a person to decide on.

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