AI agents · Workflows · Automation
Ship the work,
not the busywork.
Jissper builds AI agents and automated workflows for startups and SMBs - the kind that take repetitive work off your team in weeks, running on the stack you already have.
- Founded
- 2024
- Built for
- Startups & SMBs
- Lock-in
- None - you own it
01 /The problem
Manual work is quietly capping your growth.
Teams lose 20+ hours a week to work that follows the same steps every single time. Hiring absorbs that load. It does not remove it.
01
Time drain
Repetitive work absorbs the hours that were meant for strategy, product and customers.
02
Scaling friction
Adding people absorbs the volume but leaves the underlying inefficiency exactly where it was.
03
Competitive pressure
Teams that have automated the routine layer move faster on everything above it.
02 /What we build
Three ways in, depending on where the work is stuck.
Most engagements start with one of these and grow into the others once the first one is holding.
01
AI Agents Development
Custom agents that take a whole task off your team, not one step of it.
- Customer support agents
- Lead qualification agents
- Data analysis agents
02
AI Workflows
Your existing tools, wired together so nothing needs re-typing.
- Cross-tool workflows
- Approval routing
- Data synchronisation
03
AI Automation
Find the bottlenecks worth automating before building anything.
- Process audit
- Automation roadmap
- Bespoke automation
03 /How it works
What an agent actually does.
Not a black box. Every system we ship is a traceable path from trigger to outcome - which is what makes it fixable when something needs tuning.
01 / trigger
New email, lead, file
02 / context
Docs, CRM, history
03 / agent
Reason, decide, verify
Loops with its tools until the task is done.
04 / tools
API, database, Slack
on exception
A human decides
Anything needing sign-off leaves the loop here.
05 / outcome
Ticket closed, record set
04 /Our work
Three agents, built and shipped.
A support agent, a product-management agent and a prospect-research agent, all in production for one client. Their name is not ours to publish, so here is the work instead - including the part where each one still needs a person.
Customer support
Product Support Agent
Handles inbound product questions - reads the question, answers from the client's own product documentation, and escalates anything it cannot source to a person.
Where it stops: It will not invent a policy. Anything involving pricing exceptions, refunds or a commitment on the company's behalf goes to a person by design.
Product management
Product Management Agent
Turns scattered product feedback into something a person can prioritise - collecting input from across the client's channels, grouping duplicates, and keeping a single current view of what has been asked for.
Where it stops: It organises and summarises; it does not decide the roadmap. Sequencing stays a human judgement call.
Sales research
Prospect Research Agent
Builds the briefing before a first sales call - what the target company does, what its stack looks like from the outside, and where the likely operational bottlenecks are.
Where it stops: Everything it finds is public-source and can be out of date or simply wrong. It is a starting point for a conversation, not a verified record.
05 /Process
Four weeks from first call to something running.
Long enough to build it properly. Short enough that you see whether it works before the quarter is over.
Week 1
Discovery
- Walk your current workflows and where they hurt
- Mark which processes are genuine automation candidates
- Separate the quick wins from the deep work
Weeks 2–3
Build and test
- Design and build the first automation
- Test against your real data, not a sandbox
- Iterate on what the tests actually show
Week 4
Deploy and measure
- Go live with monitoring in place
- Tune against production behaviour
- Train the team who will own it
Ongoing
Support
- Continuous support and optimisation
- Expand to the next process once this one holds
06 /Stack
We work with what you already run.
Platform-agnostic on purpose. The value of an automation disappears the moment it locks you into the vendor who built it.
- Models
- OpenAI
- Anthropic
- Google AI
- Automation
- n8n
- Scheduled jobs
- Event queues
- Integration
- REST APIs
- Webhooks
- SFTP
- Custom connectors
- Your systems
- Salesforce
- HubSpot
- Zoho
- Slack
- Teams
- SQL & NoSQL
Next step
Find the two processes worth automating first.
A 30-minute call, no pitch deck. We look at where your team actually loses hours and tell you which of it is worth automating - and which of it is not.