AI systems & automation
Put intelligence
to work.
Turn the information you already have into the next step you need. Custom AI agents, knowledge systems, and automation. Built around your business.
01 Your world
NEW MESSAGE
Subject: Ready for kickoff
“We’re ready to get started. Can you send the next steps?”
Customer email + your onboarding process
02 Intelligence at work
- Understand intent
- Find the right workflow
- Prepare the handoff
03 A useful next step
A head start on onboarding.
WELCOME EMAIL · DRAFT
Great to have you on board. Here’s your intake form and what we’ll need for kickoff.
- Customer record matched
- Welcome email drafted
- Kickoff task prepared
Ready for your team to review
Inside our own AI system
Meet SwiperAI.
Built. Used. Evolving.
Our internal AI system brings agents, private knowledge, and software into the same working loop. The lessons become a public record of applied research.
Explore SwiperAI (opens in a new tab)What we can build
One useful workflow.
Many possibilities.
Start with the task you want to improve. We connect the right AI to the data, tools, and people behind it.
01 / Agents & handoffs
Move work forward across your tools.
Give routine handoffs a clear path from incoming request to completed next step, with your team's rules and approvals built in.
- Route requests to the right person
- Keep records and follow-ups connected
- Pause for approval before sensitive actions
Agent orchestrationINTERACTIVE EXAMPLE
NEW REQUEST
“Can we schedule a demo?”
Intake agentUnderstand · Route · Prepare
CRM recordWaiting for contextCONNECTED TOOL
Team reviewApproval before sendingHUMAN CHECKPOINT
Integrations & build approach
Where it connects
- CRM and sales platforms
- Internal dashboards and admin tools
- Messaging, email, and notifications
- Documents, forms, and knowledge bases
How we build it
- Integrate an existing LLM and wrap it with orchestration logic.
- Build custom agent workflows, memory, and business rules from scratch.
- Deploy a hybrid system with model APIs, retrieval, and human review loops.
From idea to everyday use
Start small.
Build with a clear path.
The best first project is a task that repeats, has available data, and gives your team a result they can check.
- 01
Map the workflow
Choose one repeatable task, identify its data and tools, and define what a useful result looks like.
You getA focused first-build scope - 02
Build the right system
Connect the model, business rules, and interface around the way your team already works.
You getA working version to try - 03
Test with real examples
Check accuracy, edge cases, and review points before the system touches live work.
You getA reviewed evaluation set - 04
Launch and improve
Roll out with clear permissions, monitoring, and a feedback loop from your team.
You getA supported production workflow
Where It Lives
Connected to your tools.
Controlled by your team.
Support, operations, sales, documents, and your product can share the same context while keeping their own permissions and review paths.
Built for real use
We define what the AI can read, which actions it can take, and when a person needs to approve its output.
- Access limited to approved data and tools
- Sources and decisions available for review
- Actions measured and improved after launch
AI layer
Shared context, clear controls, useful output.
- Approved data
- Reviewable actions
- Measured results
Support + Knowledge
Drafting a grounded reply…
Operations
New lead → auto-routed
CRM + Sales
Lead priority · High
Document + Content
Summarizing docs…
Apps + Portals
Dashboard insight ready
FAQ
A few things you might be wondering.
What can AI do for my business?
It can help with repetitive work like follow-ups, routing, summaries, document handling, drafting, lead scoring, knowledge search, and multi-step workflows inside the tools your team already uses.
What kinds of AI systems do you build?
We build AI agents, workflow automation, RAG knowledge systems, internal copilots, AI features inside CRMs and dashboards, document systems, and custom model integrations for real business workflows.
Do you build custom AI or integrate existing models?
Both. Many strong systems combine existing model APIs, retrieval, custom prompts, data processing, evaluation, and workflow logic. Custom or fine-tuned models make sense when the behavior, data, privacy, or deployment requirements call for it.
When is custom AI better than an off-the-shelf AI tool?
Custom AI is worth it when the workflow depends on private data, custom records, permissions, domain rules, software integration, human review, or a product experience that a generic tool cannot match. If a simple tool solves the problem cleanly, we will say that.
How long does an AI project take?
A focused first version usually takes several weeks to a few months, depending on data readiness, integrations, review requirements, and how much evaluation the system needs before launch.
How much does an AI system cost?
Most serious AI builds should be scoped in phases. Cost depends on the model approach, data cleanup, integrations, interface, security needs, evaluation, and deployment. We define a fixed first phase before development starts.
How do you keep AI safe when it can take action?
We scope permissions, add human review for sensitive actions, log behavior, set confidence thresholds, test against real examples, and design the AI to escalate when it is unsure.
Plan an AI System
Tell us the workflow you want to improve.
Share the task, the tools it touches, and what a better result would look like. We will help define the right first AI build.