Custom AI agents built around how your team actually works, deployed into the tools you already use. No generic chatbot that only does half the job. No long projects or migrations.
Prefer to start on your own? Try our Customer Service Agents free for 7 days.No major system migration required. We work with the tools your business already uses.
Running in production today across customer service, sales and marketing
AI agentsBusiness workflowsIntegrationsGovernanceOne system.
Most companies are adding AI one tool at a time. Each one does a piece of the job. Your team is still the one connecting them.
Dapto connects the process, not just the tools.
Lead generation
A sales tool finds leads.
Sales
An outreach tool sends messages.
Customer service
A chatbot answers questions.
CRM
A CRM stores customer information.
Operations
An automation tool moves data.
What fills the gaps today
- Manual handoffs
- Copy and paste
- Missed follow-ups
- Spreadsheets
- Slack messages
- Someone chasing it all
Many business workflows use the same building blocks. We have already built and tested them, so we can customize them around your systems instead of starting from zero.
Your business's second brain
Brand Core
Everything your business knows, in one place. Every agent thinks with it, so they all sound like you and follow your rules.
Built from your
- Website
- Documents
- Libraries
- Products and pricing
- Policies
- Brand voice
Website chat
AI handlingAI for customer conversations
Deployed on: Website chat, email, phone and WhatsApp
Pulls from your Brand Core
- Products and pricing
- Policies and refunds
- Booking rules
- Brand voice
- Answers inquiries 24/7
- Qualifies leads and books meetings
- Follows up automatically
- Runs your helpdesk tickets
- Updates your CRM
- Hands off to a person in one click
One customer. Four agents. One Brand Core.
Watch work pass from agent to agent, each one using the same knowledge of your business.
1. Discover
Marketing AgentsJordan from Northwind comments on your LinkedIn post.
Brand voice2. Engage
Sales AgentsResearches Northwind and sends Jordan a personal note. Jordan replies.
Best-fit customersCase studies3. Convert
Customer Service AgentsAnswers Jordan's pricing questions and books the call.
Pricing4. Onboard
Operations AgentsCreates the onboarding checklist and updates the CRM and Monday's report.
Report templates5. Support
Customer Service AgentsResolves Northwind's first setup ticket.
Policies
Brand CoreShared by every agent
- Website
- Documents
- Libraries
- Products and pricing
- Policies
- Brand voice
Start with any one agent. Each runs on its own, and they pass work to each other as you add more.
Book an AI Opportunity AuditAI Governance
Guardrails on every agent we deploy
Agents only touch what they are allowed to, and a person approves anything that matters. Built into every deployment, with stricter controls for enterprise teams.
Available for enterprise deployments- Control what each agent can see and do
- Set policies per workflow
- Log and monitor every action
- Evaluate outputs before they ship
- Require approval for sensitive steps
- Protect sensitive information
An agent that answers one inbox isn't transformation. We build agent systems that handle a workflow from start to finish, from intake to action to reporting, so whole chains of manual work disappear.
We map the whole process first
- 1
Where does the work start?
A form, a call, a signal
- 2
What information is needed?
CRM, orders, policies
- 3
What decisions get made?
Qualify, route, refund
- 4
Which systems are involved?
Inbox, calendar, help desk
- 5
Where does a person step in?
Approvals and exceptions
Most AI projects stall before production. Ours follow the practices that get them there: start from the workflow, measure a baseline, test on real cases, roll out in stages and keep improving. The same four steps apply to any workflow, prebuilt or custom.
- 1Discover
AI Opportunity Audit
We study how the work really happens and measure it, so we automate the right thing and can prove the result.
- Map the workflow end to end: people, systems, decisions and handoffs
- Measure today's baseline: volume, time, cost and error rate
- Decide which steps need an agent, and which need simple automation or should stay with a person
- Rank opportunities by value and risk, then agree the first build and its success target
Your partSessions with the people who do the work, and read-only access to the systems involved.OutputAI Opportunity MapAI Opportunity Map
Example: order intake at a 120-person distributor
We found 254 hours a month of manual work. Order intake is the biggest, so we start there.
- Order intake from emailed POsStart here120 hrs/month
- Supplier invoice matching80 hrs/month
- Quote follow-ups30 hrs/month
- Weekly sales reporting24 hrs/month
Order intake today
Every order retyped by hand
6 min each · 4% errors
Target
No retyping
95%+ entered correctly
- 2Design and build
Workflow design and build
We redesign the workflow around the agent and prove it works on your real cases before it touches live work.
- Redesign the workflow with a clear human role at every step
- Give each agent a job description: its tasks, tools, permissions and your Brand Core
- Build a test set from your real past cases, with your experts defining what good looks like
- Reuse our prebuilt agents and components, and build only what is unique to you
Your partYour experts review the test cases and approve the business rules.OutputAI Workflow ArchitectureAI Workflow Architecture
Example: order intake at a 120-person distributor
The agent handles 4 of the 5 steps. Your team only steps in when something doesn't match.
Agent
Your team
- 1Picks up the order email
- 2Reads the items, quantities and prices
- 3Checks stock, prices and credit in the ERP
- 4Approves it, only if something doesn't match
- 5Creates the order and confirms to the customer
Tested on 300 past orders
Ready to launch97% correctTarget 95% - 3Deploy
Production deployment
The agent goes live inside your existing systems in stages, so nothing breaks and trust is earned.
- Connect to your systems with only the access the agent needs. No migration
- Run in shadow mode first, side by side with your team
- Go live on a small share of the work, then expand once the targets hold
- Keep human approval on risky actions, with a rollback plan ready
Your partApprove each stage of the rollout. Your team gets a short handover.OutputProduction AI SystemProduction AI System
Example: order intake at a 120-person distributor
Live in three safe stages. Your team approved each one before the next.
Shadow
0%
of orders handled by the agent
Agent: Prepares orders
Team: Still enters every order
Matched 96%
Pilot
20%
of orders handled by the agent
Agent: Enters 1 in 5 orders
Team: Approves each one
No errors in 2 weeks
Live
100%
of orders handled by the agent
Agent: Enters every order
Team: Checks exceptions only
Live
- Only the ERP access it needs
- Mismatches always go to a person
- Rollback plan for every stage
- 4Ongoing
Ongoing optimisation
We run and improve the system, and measure it against where you started.
- Monitor every step of every run, not just the end result
- Review exceptions and corrections, update the agent and re-test before every change
- Report results against the baseline every month
- Give agents more autonomy where they have earned it, and reuse them for the next workflow
Your partA monthly review of results and priorities.OutputManaged AI OperationsManaged AI Operations
Example: order intake at a 120-person distributor
Order entry went from 120 to 18 hours a month, with fewer mistakes.
BeforeAfterHours a month on order entry
12018Orders entered with errors
4%0.8%Orders with no human touch
0%82%
Next: supplier invoices, reusing the same agent
Step 1 output: AI Opportunity Map
AI Opportunity Map
Example: order intake at a 120-person distributor
We found 254 hours a month of manual work. Order intake is the biggest, so we start there.
- Order intake from emailed POsStart here120 hrs/month
- Supplier invoice matching80 hrs/month
- Quote follow-ups30 hrs/month
- Weekly sales reporting24 hrs/month
Order intake today
Every order retyped by hand
6 min each · 4% errors
Target
No retyping
95%+ entered correctly
A working session on your actual workflows.
Replacing your CRM, help desk, ERP or email platform is usually unnecessary. Dapto sits between the tools your team already uses, does the work across them, and hands people the decisions.
Your systems
- CRM
- Website
- Phone
- Calendar
- Help desk
- ERP
- Documents
- Databases
- APIs
Dapto
The operations layer that does the work
- Agents
- Knowledge
- Orchestration
- Business rules
- Security
- Evaluation
Sales
Takes the meetings
Support
Handles the exceptions
Operations
Approves what matters
AI built around your business, not the other way around.
End-to-end workflows
We look past the single task and automate the whole process wherever it makes sense.
Built around your systems
We connect to the tools and data your business already uses. Nothing to migrate.
People stay where they matter
Agents work on their own where it is safe and hand decisions to a person when judgment is needed.
Designed for production
Monitoring, evaluation, permissions, knowledge management and security are part of the build, not an add-on.
Most businesses run on people chasing work. The next ones will run on agents doing it.
Start with the business problem. We work out which agents solve it, what should stay with your team and what to build first, before you invest in anything.
Book an AI Opportunity AuditYou leave with a clearer picture of where AI can help, what should stay with people and what to build first.
What we look at
- Your workflows
- Manual handoffs
- Customer journey
- Systems
- Data
- Decision points
- Repetitive work
- Revenue leakage
- Operational bottlenecks
Common questions from teams exploring AI agents.
What is Dapto?
Dapto builds custom AI agent systems that run inside your existing business software and do the work across it. Each system is designed around how your business works, uses your CRM, ERP, inbox and internal tools as they are, and shares one Brand Core, your business's second brain. Prebuilt agents already in production mean we rarely start from zero.
What kinds of AI agents does Dapto build?
Every kind of AI agent a business uses day to day: AI receptionists and AI voice agents that answer calls, AI chatbots for websites and WhatsApp, AI customer service agents with a built-in helpdesk, AI SDRs and lead generation agents for sales, AI marketing agents for content and ads, and operations agents for documents, reports and workflows. Anything else gets a custom agent on the same Brand Core.
What is Brand Core?
Brand Core is your business's second brain: one shared source of truth built from your website, documents, libraries, products and pricing, policies and brand voice. Every Dapto agent works from it, so they give consistent answers, sound like you and follow your rules.
How does a Dapto implementation work?
Four steps. An AI Opportunity Audit maps and measures the work. We then design the workflow and build the agents, testing them on your real past cases. Deployment happens in stages, starting in shadow mode. After that we keep optimising and report against your baseline. Nothing goes live without your approval.
What happens in the AI Opportunity Audit?
It is a working session, not a sales pitch. We go through how your work runs today, measure where time and money are lost, identify where an agent could realistically take over, which systems it would need to connect to, and what to build first.
How long until an agent is live?
It depends on the workflow and the systems involved. Because most deployments start from agents we have already built, they move faster than a build from scratch. Our Customer Service Agents can be running the same day if you start them yourself.
How much of my team's time does this take?
Your team gives us context on the workflow and access to the right systems in a few working sessions, then reviews test results and approves each stage of the rollout. We handle the design, build and deployment.
Does it work with the systems we already use?
Yes. Agents connect to your CRM, inbox, phone, website, calendar, ERP, documents, databases and internal tools through their APIs and integrations. You don't have to migrate anything.
How is our data protected?
Agents work inside the permissions you set and only get the access they need. Sensitive steps can require a person's approval, and every action is logged so it can be monitored and audited.
Can I start on my own first?
Yes. Our Customer Service Agents are available self-serve as Dapto Frontdesk, with a 7-day trial. Each agent runs on its own, and you can add more with our team whenever you're ready.
How is pricing set?
Self-serve Customer Service Agents (Dapto Frontdesk) start at $39 a month. Custom implementations are priced on the workflows, systems and number of agents involved, and we share the price after the audit once the scope is clear.
Sell AI to your clients without building the AI team.
Dapto becomes the AI practice behind your firm, so you can take on AI projects without hiring an AI team or paying for one between projects. Want more margin? Add offshore development.
- No AI team to hire
- You own the client and the price
- Optional offshore development for more margin
Don't add another AI tool. Build a business that works differently because of AI.
- 1Start with one painful workflow
- 2Prove the value
- 3Then expand