Stock, price and instalment questions arrive non-stop while staff are serving the customer standing in front of them.

Repetitive chats pile up at peak hours

Prices and availability change daily. A wrong answer only surfaces once the customer has already travelled to the shop.

Answers must follow stock data, not staff memory

30% of new leads land between 21:00 and 09:00, when nobody is there to reply.

A third of new leads arrive after hours

WhatsApp AI customer service for an iPhone retailer: stock and pricing answered from the database, zero-down credit simulation, trade-in estimates, and a push toward the store visit.

Availability, price, colour, storage, warranty and battery condition are all checked against the shop's database before anything is sent to the customer.

Every answer read from the inventory database

Zero-down credit simulation, trade-in and buyback estimates given as ranges, then an invitation to visit. The moment a customer names a day, the agent closes with an appointment template.

A sales flow, not just an FAQ

Negotiation and payment stay in store. Serious buyers, complaints, and customers who have already arrived are routed to staff automatically.

Clear limits and human escalation

WhatsApp AI customer service for an iPhone retailer (new and second-hand units): answers stock, price, credit and trade-in questions straight from the inventory database, then pushes serious buyers toward a store visit.

Solutionesia

WhatsApp AI customer service for an iPhone retailer

Email, chat, and vendor portals created fragmented intake and duplicate work.

Invoices arrived from too many channels

Approvers were not always obvious, so the finance team had to chase the next step manually.

Approval ownership was unclear

Month-end reporting slowed down because validation and routing were still mostly manual.

Reporting was delayed by manual validation

Capability demo showing how invoice intake, validation, and approval routing can be automated for a growing finance team.

One intake flow makes it easier to capture incoming invoices consistently before processing starts.

Centralized intake

Business rules validate vendor details and highlight exceptions before the team needs to review them.

Automated validation

Approvals move to the next owner automatically with status visibility for finance and operations.

Approval routing

A capability demo for businesses that want faster invoice handling without adding more admin work or replacing their finance stack.

Solutionesia Lab

Invoice processing automation audit

Status and communication touched multiple places before becoming useful for clients or internal teams.

Information was fragmented

Operational visibility depended on people manually collecting updates.

Manual coordination was too heavy

The business needed a cleaner experience for ongoing account visibility.

Clients needed a clearer dashboard experience

Legacy delivery proof showing Solutionesia previously shipped dashboard and portal systems for real business use cases.

A clearer interface for ongoing client and account visibility.

Dashboard visibility

Admin workflows supported coordination behind the scenes.

Operational support flow

The project demonstrates implementation ability, not just concept work.

Real delivery proof

Legacy proof that Solutionesia has already shipped business systems and portals that required clear workflow thinking.

Legacy Delivery Scope

AIQ client dashboard

Operational status was harder to track consistently across the workflow.

Status visibility needed structure

Coordination carried too much manual dependency.

The workflow depended on too many manual updates

Reporting needed a cleaner system layer to support decisions.

Reporting lacked a clear operational flow

Legacy project showing Solutionesia delivery experience in logistics-related systems and operational workflows.

The system improved how operational information could be reviewed.

Operational visibility

Interfaces supported a more structured coordination flow.

Workflow coordination

The project still acts as proof of real-world systems execution.

Execution credibility

Legacy proof of Solutionesia delivery in logistics-related systems where operational coordination mattered.

Ervill logistics operations system

Solutionesia | Case studies and proof snapshots

The more context you share, the sharper the audit becomes. Tell us where the work slows down and what systems are involved.

What to send us

Book your free automation audit

Case studies and proof snapshots

Frequently asked questions

We remove repetitive work from your team

Start with one workflow, one measurable target, and one fast implementation window. Results decide the next phase.

Start with one automation

Solutionesia spent years shipping websites, dashboards, and internal systems for businesses. That delivery experience now gets applied to AI and workflow automation with the same focus: make operations clearer, faster, and easier to run.

We come from real delivery work, not just strategy slides

A live call where we map the current workflow, handoffs, delays, and approval bottlenecks.

Workflow Diagnostic Session

A prioritized list of the best automation opportunities with notes on impact, dependencies, and sequence.

Automation Opportunity Map

A simple estimate of the time, speed, or error reduction available from the top opportunities.

ROI Forecast Snapshot

If there is a strong fit, we outline the fastest next implementation step to get momentum quickly.

Quick-Win Blueprint

If we cannot identify at least 3 worthwhile automation opportunities, we will tell you honestly and you still keep the audit summary.

Conditional guarantee

We only onboard a small number of audit slots each month so we can review each workflow properly before recommending implementation.

We review your current workflow, pinpoint the highest-ROI bottlenecks, and show you the fastest automation opportunities first.

Find your hidden 20 hours before you automate the wrong thing

Audit calls are grouped in rolling batches so we can move quickly from diagnosis into build once there is a fit.

We start from the bottleneck that costs the most time, money, or responsiveness instead of automating random tasks.

Start from the highest-friction workflow

Every recommendation is translated into a clear workflow, owner, and expected business outcome before build begins.

Make the process visible before building the solution

We prefer one useful automation live quickly over a giant transformation project that takes too long to prove itself.

Ship the pilot fast

Handoffs, alerts, and documentation matter as much as the automation itself because adoption is part of delivery.

Design for handoff and adoption

Manual copy-paste work quietly eats hours every week and steals time from sales, service, and follow-up.

Repetitive admin work keeps expanding

Teams wait on spreadsheets, inboxes, and fragmented updates before they can take action.

Reports and updates arrive too late

Customer inquiries sit in email or WhatsApp longer than they should because triage is still manual.

Leads and requests wait in queues

Manual processes are quietly slowing your growth

How we work in 3 steps

We review your current workflow, identify the highest-ROI bottleneck, and define the success target for the first automation.

Audit

We design the workflow, connect the systems, build the logic, and validate the edge cases before launch.

Build

We launch, monitor, document, and refine so the automation stays reliable in daily operations.

Proof, not hype

Solutionesia helps businesses remove repetitive work through workflow automation, AI integration, and practical system implementation.

Workflow automation

AI integration

System integration

Custom AI agents

Data pipeline & analytics

Automation audit & consulting

What changes when the right workflow gets automated

Workflow orchestration, triggers, approvals, and task routing across the apps your team already uses.

Workflow orchestration

LLM-assisted classification, extraction, summarization, and narrow-task agent patterns with human review when needed.

AI services and agents

API connections, webhooks, portals, CRMs, ERPs, spreadsheets, and messaging tools that need to exchange clean data.

System integrations

Dashboards, admin tools, and internal portals that make workflows visible and easier to manage.

Internal tools

Data movement, reporting layers, alerting, and operational summaries that support faster decisions.

Data pipelines

Launch checks, monitoring, documentation, and handoff support so the automation continues to help after go-live.