An AI automation solution connects your existing tools and adds AI decisions, so a task like handling an inquiry, answering a support request or producing content moves from start to finish with little manual effort, while people approve the steps that matter.
Interactive demo
From Repetitive Tasks to Intelligent Workflows.
Pick a workflow and watch it run, or select any step to see what goes in, what the AI does, and what your business gets out.
INPUT
A prospect fills in your website form or emails asking about pricing.
AI ACTION
The inquiry is captured instantly and key details are extracted: company, need, and timeline.
BUSINESS OUTCOME
No inquiry is lost, whichever channel it arrives through.
Read every step of all three workflows
Lead to customer
New customer inquiry.Input: A prospect fills in your website form or emails asking about pricing. AI action: The inquiry is captured instantly and key details are extracted: company, need, and timeline. Outcome: No inquiry is lost, whichever channel it arrives through.
AI qualification.Input: The extracted details plus your ideal-customer criteria. AI action: The AI scores fit and intent, and flags anything unclear for a person to review. Outcome: Your team focuses on the leads most likely to convert.
CRM update.Input: The qualified lead and its score. AI action: A CRM record is created or updated, an owner is assigned, and a follow-up task is set. Outcome: A clean, current pipeline without manual data entry.
Personalized response.Input: The lead's question and your approved messaging. AI action: A tailored reply is drafted and sent, or queued for approval if you prefer. Outcome: Prospects hear back quickly with a relevant answer.
Team notification.Input: High-intent leads and assignments. AI action: The right person is alerted in Slack, Teams or email with a short summary. Outcome: Hand-offs happen in minutes, not days.
Performance tracking.Input: Pipeline activity over time. AI action: Response times, sources and stages are summarised into a weekly report. Outcome: Clear visibility into what is working.
Support request
Customer message.Input: A question arrives via website chat, email or WhatsApp. AI action: The message is received and linked to the customer's history. Outcome: One view of every conversation.
Intent detection.Input: The message text. AI action: The AI identifies topic, urgency and sentiment. Outcome: Urgent issues rise to the top automatically.
Knowledge lookup.Input: The detected intent. AI action: Relevant answers are retrieved from your help articles, policies and order data. Outcome: Answers grounded in your own information.
Drafted answer.Input: Retrieved knowledge and the customer's question. AI action: A clear, on-brand response is written in the customer's language. Outcome: Faster, more consistent replies.
Human handoff.Input: Complex, sensitive or low-confidence cases. AI action: The conversation passes to a teammate with a summary, so nobody repeats themselves. Outcome: People handle what truly needs people.
Support insights.Input: All resolved conversations. AI action: Recurring questions and documentation gaps are surfaced. Outcome: Fewer repeat questions over time.
Content approval
Campaign brief.Input: Your goals, audience, offers and brand guidelines. AI action: The brief is structured into themes and a posting schedule. Outcome: A plan everyone can see.
Idea generation.Input: Themes, past posts and current industry topics. AI action: Post ideas and angles are proposed for each channel. Outcome: No more blank-page Mondays.
Draft posts.Input: Approved ideas. AI action: Captions and copy variations are drafted in your brand voice. Outcome: More content with less effort.
Brand check.Input: Drafted posts. AI action: Tone, claims and required wording are checked against your guidelines. Outcome: Consistent, compliant messaging.
Your approval.Input: Checked drafts in a review queue. AI action: Nothing moves forward until someone on your team approves or edits it. Outcome: You stay in full control of what is published.
Scheduled publishing.Input: Approved posts. AI action: Posts are scheduled to your chosen channels and times. Outcome: A steady presence without daily scrambling.
Illustrative prototype showing a sample scenario. It is not a live client integration.
Technology Is Only Valuable When It Moves Your Business Forward.
Handling one new inquiry
1Inquiry captured from any channelAutomatic
2CRM updated with clean dataAutomatic
3Routed by fit and intentRules + AI
4Tailored reply draftedYou approve
5Reporting kept currentAutomatic
Conceptual comparison. Actual results depend on your processes and tools.
Reduce repetitive manual work
Improve operational consistency
Respond to customers more efficiently
Create content more consistently
Connect disconnected systems
Access useful business information
Digital experiences that support growth
Free your team for higher-value work
Featured solutions
What a TendWise solution can look like.
These are concept scenarios that illustrate our approach. Verified case studies will appear here as projects are delivered.
Lead pipeline● Live
NEW
QUALIFIED
MEETING SET
CONCEPT SCENARIO
AI-powered lead management
Problem
Inquiries arrive across email, forms and WhatsApp, and follow-ups slip.
Solution
An agent captures, qualifies and routes each lead into the CRM with a drafted reply.
Capabilities
LLM classification · CRM API · alerts
Intended outcome
Faster, more consistent first responses.
My order hasn't arrived yet.
It's out for delivery today. I've sent you the tracking link.
Human agent available
CONCEPT SCENARIO
Intelligent customer support
Problem
Repetitive questions consume the support team's day.
Solution
A knowledge-grounded assistant answers routine queries and hands off complex ones.
Capabilities
Retrieval · order lookup · handoff
Intended outcome
More time for conversations that need people.
APPROVED
IN REVIEW
DRAFT
CONCEPT SCENARIO
Automated content operations
Problem
Posting is irregular because content takes too long to produce.
Solution
An AI pipeline drafts on-brand posts into an approval queue your team controls.
Capabilities
Brand-voice drafting · approvals · scheduling
Intended outcome
A steadier presence with less effort.
Solutions FAQ
How AI workflow automation works.
What is AI workflow automation?
AI workflow automation links the steps of a business process, such as receiving a request, understanding it, updating systems and responding, and uses AI for the steps that need judgment, like classifying, summarising or drafting. The result is a process that runs reliably with less manual effort.
Which workflows are best to automate first?
Start with tasks that happen often, follow a recognisable pattern and cost your team time every week, for example lead follow-up, appointment handling, invoice data entry, support FAQs and weekly reporting.
Will AI make decisions without my team?
Only where you allow it. We define which actions run automatically and which require approval, and every step can be logged so you can see what happened and why.
How do you measure whether automation is working?
Before building, we agree on success measures such as response time, hours spent on a task or error rates, then track them after launch and refine the workflow based on results.
Have a workflow in mind?
Describe it in a few sentences and we'll suggest how it could run with AI.