Approvals stuck in inboxes
Purchase requests, leave applications and discount approvals wait in email or WhatsApp. Nobody knows who has the request or how long it has been waiting.
RDS Innovations automates the repetitive steps between people and systems: chasing approvals, sending reminders, creating documents, compiling weekly reports and copying data from one place to another. We use simple, predictable rules wherever they work and add AI-assisted steps only where a task genuinely needs reading or judgment.
Business process automation means turning a repeated sequence of steps into a workflow that runs on its own. A workflow starts with a trigger, such as a form being submitted, a status changing or a time of day. It then follows defined steps: check a condition, notify someone, wait for approval, create a document, update a record. Each run is recorded so you can see what happened and when.
We start with rule-based automation because it is predictable, inexpensive to run and easy to explain. If an expense is above a set amount, it goes to the finance head. If a quote is not answered in three days, a reminder goes out. Most of the time saved in a typical business comes from rules like these, not from AI.
AI-assisted steps, which many people call AI automation, are added where rules struggle with messy input. Examples include reading the intent of an incoming email to route it, pulling fields from an attached document, or drafting a follow-up message for a person to approve. These steps are clearly marked, have fallbacks when the AI is unsure, and keep a person in the loop where errors would matter.
Automation only helps if it handles the unusual cases. We design what happens when a step fails, an approver is on leave, data is missing or an external system is down, so problems are visible in an exceptions list instead of failing silently.
Purchase requests, leave applications and discount approvals wait in email or WhatsApp. Nobody knows who has the request or how long it has been waiting.
Payment reminders, renewal notices and quote follow-ups are sent only when someone remembers, so revenue and customer goodwill slip through the gaps.
An order is entered in a form, then re-typed into a spreadsheet, then into the accounting system. Every copy is a chance for mistakes.
Offer letters, quotations, certificates and work orders are created by copying an old file and editing it, which leads to outdated terms and wrong names.
Someone downloads exports from several tools every Monday, pastes them into a spreadsheet and emails it around. The report is late and occasionally wrong.
Scope is agreed in writing for every project. These are the building blocks we typically plan with you.
A documented map of the current process, its triggers, decisions and exceptions, with a ranked list of steps to automate first.
Multi-level approvals with rules by amount, department or type, reminders for pending items, delegation when someone is away and a full approval history.
Email, SMS or WhatsApp messages triggered by events or schedules, such as payment due reminders or document expiry alerts, with stop conditions once resolved.
Quotations, letters, certificates and work orders generated from approved templates and live data, saved to the right record or folder, and sent if required.
Recurring summaries compiled automatically from your systems and delivered by email or to a shared folder at a set time.
Optional steps that classify incoming emails, extract details from attachments or draft messages, with confidence checks and human review where needed.
A screen listing failed or stuck items with reasons, plus a log of every automated action, who approved what and when.
Representative examples of the work, described generically. They are not client case studies.
Staff raise a request with quotes attached. It routes to the department head, then to finance above a set amount, and creates a purchase order once approved.
Invoices nearing their due date trigger a polite reminder, a second notice after the due date and an alert to the account manager if still unpaid.
When a new joiner is added, tasks are assigned to IT, HR and the manager, an offer letter is generated, and overdue tasks are escalated.
Incoming emails to a shared address are classified as order, complaint, invoice or other, details are extracted, and each is routed to the right team.
Each evening, the day's orders, collections and pending dispatches are compiled and sent to management in a short, consistent format.
Decisions stay visible, important workflows are validated early, and delivery is shaped around the agreed scope.
Walk through the process with the people who do it, including the workarounds and exceptions that rarely appear in written procedures.
Rank steps by volume, time spent and error impact, then agree on a first workflow that delivers value quickly and is easy to verify.
Write down triggers, conditions, approvers, message templates and what should happen when something fails or data is missing.
Implement the workflow and run it alongside the manual process for a short period so results can be compared and trusted.
Train the owners, document how to change rules, monitor the exception queue and move on to the next workflow.
Many businesses start with a no-code automation tool, and that is often sensible. Custom workflows make sense when the process outgrows what those tools handle comfortably.
Best for: Simple, low-risk automations between popular apps, such as copying form entries into a sheet.
Quick to set up by a non-developer, with ready connectors for common apps. Costs can rise with task volume, complex branching becomes hard to maintain, and audit trails or exception handling may be limited.
Best for: Multi-step approvals, business rules specific to you, high volumes or systems without ready connectors.
Built around your exact rules with proper exception queues, audit logs and role-based screens. It requires development and ongoing ownership, but gives you full control and avoids per-task fees.
Best for: Businesses that already rely on a no-code tool for some tasks.
Keep simple automations where they are and build custom workflows for the critical, complex processes. Clear documentation of which tool does what avoids confusion later.
A single well-defined workflow typically takes a couple of weeks to a few weeks, depending on the systems involved. Broader automation programs are delivered workflow by workflow over a few months.
Business process automation follows defined rules, such as routing a request above a set amount to finance. AI automation adds steps that interpret messy input, like reading an email or a scanned document. We use rules first because they are predictable and add AI only where it clearly helps.
Yes, this is a common starting point. We map how the process works today, move the data into a structured form or system, and then automate approvals, reminders and reports around it.
Failures go into an exceptions list with the reason, and the responsible person is notified. Steps that talk to other systems can retry automatically, and nothing is silently skipped.
Where it makes sense, approval limits, approvers and message templates can be made editable from an admin screen. More structural changes, like adding a new step, usually need a small development change.
Usually one that happens often, follows clear rules and causes visible pain when delayed, such as approvals or payment reminders. Starting there builds confidence and shows value before tackling more complex processes.
Tell us what you are trying to build, fix or improve. We will reply with questions, a suggested approach and a realistic estimate.