AI agents that take routine work off your team.
Draya AI Lab designs, builds and runs voice, chat and knowledge agents that answer, book, look things up and act in your tools, and hand anything tricky to a person with the full story attached.
- Chat pilots typically go live in 2 to 4 weeks
- Start small with a $750 audit
- A person always stays in control
Live call
Incoming call, evening clinic line, 9:12 pm
What the AI did
- Done: Checked Dr. Rao's calendar: 2 evening slots open
- Done: Booked Thursday, 6:30 pm
- Done: Confirmation text sent to the caller
- Needs a person: Urgent symptom detected, so booking stops
- Needs a person: Call handed to the duty nurse with a summary
Pick your bottleneck
Choose the problem that costs you most. You'll see the agent we'd design for it, in the same one-page blueprint you'd approve in an audit.
Voice agent
For missed and after-hours calls
- Goal
- Answer the calls your team can't pick up, day or night, book appointments and pass urgent or unusual calls to the right person.
- Knows
- Your services and prices, opening hours, staff calendars, booking rules and answers to the questions callers ask most.
- Can do
- Answer and route calls, check availability, book or move appointments and viewings, send a confirmation text, take a message.
- Hands over when
- The caller asks for a person, sounds distressed or describes something urgent, or the request is outside the agreed rules.
- Measured by
- Answer rate, after-hours calls captured, bookings made, handover rate.
The problem in numbers
Independent research on the problems these agents are built for. These figures describe the industry, not Draya's results.
Nearly 7×
Research published in Harvard Business Review (2011) found firms that contacted online leads within an hour were nearly seven times as likely to qualify them as firms that waited an hour longer.
About a fifth
McKinsey Global Institute (2012) estimated that knowledge workers spend about a fifth of their workweek searching for and gathering information.
14%
An NBER study of 5,179 support agents found an AI assistant raised issues resolved per hour by 14% on average, and by 34% for newer agents (Brynjolfsson et al., 2023).
Agents we build
Five kinds of agent. Each one knows only what you approve, does only what you allow and hands over to a person when it should.
Voice agent
Answers and routes calls, books appointments and visits, qualifies enquiries and makes reminder and follow-up calls.
See the voice agentGood first jobs
- Answering and routing calls
- Booking appointments and viewings
- Reminder and follow-up calls
Chat agent
Answers product and policy questions, checks order and ticket status, captures leads and books calls.
See the chat agentGood first jobs
- Product and policy questions
- Order and ticket status
- Capturing leads and booking calls
Knowledge agent
Answers staff or customer questions from your own documents, with the source shown, and flags what it can't answer.
See the knowledge agentGood first jobs
- Staff questions about policies
- Contract and product lookups
- Customer answers from your help centre
Workflow agent
Moves repetitive work between your tools, like document checks and CRM updates, with a person reviewing at set points.
See the workflow agentGood first jobs
- Document intake and checks
- CRM and helpdesk updates
- Preparing work for review
Custom agent products
AI products and internal tools designed and built for your business, from prototype to launch.
See custom productsGood first jobs
- An AI feature in your product
- An internal tool for one team
- A focused MVP
How we build an agent
Four steps, each one small enough to stop after if it isn't right for you.
Discover
A 20-minute callWe talk through where work piles up and whether an agent is the right fix. If it isn't, we'll say so.
Design the agent
Audit, 5 to 7 business daysWe map the knowledge it needs, the tools it may use, its rules and when it hands over. You approve a one-page blueprint before anything is built.
Build and test on real cases
Pilot, 2 to 4 weeksWe build the agent, connect your tools and test it on real examples from your business, including the awkward ones.
Launch and monitor
Monthly reviewIt goes live with a person watching. Each month we review what it handled and handed over, and what to improve.
What happens when the agent isn't sure?
Pick a situation. You'll see what the agent says to your customer and the note your team receives.
What the AI says
I'm sorry this has been frustrating. I'm bringing in a teammate now and I've passed on your order details, so you won't need to explain again.
Note to the support team
- Who
- Customer on order #51907, ordered three times before
- What happened
- The order arrived four days late. The customer is upset and asked for the shipping fee back.
- Already done
- Apologised, checked the delay with the courier, shared the tracking history, paused the chat for a teammate.
- Suggested next step
- Refund the shipping fee. It's within your late-delivery policy, but refunds need a person's approval.
Illustrative example, not a client case.
Knows only what you approve.
It answers from the documents, policies and records you sign off. Nothing else.
Does only what you allow.
Every action, like booking a slot or issuing a refund, is listed and agreed. Anything else goes to a person.
Tested before it goes live.
We test it on real examples from your business, including the awkward ones, before a customer meets it.
A person is always reachable.
Anyone can ask for a person at any time, and the agent hands over with the full story.
How recordings, transcripts and customer data are stored, who can see them and how long they are kept is agreed in writing before anything goes live.
What could missed calls be costing you?
Use your own numbers. Nothing is pre-filled, and nothing you type leaves this page.
An estimate from your numbers
Fill in all four boxes to see your estimate.
A voice agent can pick up when your team can't, including after hours.
Start small. Grow when it's working.
Every engagement starts with an audit, so you know exactly what you're getting before you commit to a build.
Audit
- Audit
- from $750
We map the job, check your tools and data, and write the one-page agent blueprint you approve.
Pilot or build
- Chat agent pilot
- from $3,000
- Custom agent or automation build sprint
- from $3,500
We build one agent, connect your tools, test it on real cases and launch it with a person watching.
Keep improving
- Managed optimisation
- from $750/month
- Managed engineering
- from $2,500/month
We review conversations, fix gaps, keep its knowledge current and add new jobs as you grow.
Voice agents and larger automations are priced after the audit. AI product MVPs start from $6,500 and take 4 to 8 weeks.
Final cost depends on your tools, data and workflow, and is agreed in a written proposal before we begin. Prices are in US dollars.
See full pricingLed by someone who keeps live systems running.
Ashutosh has spent eight years in production support, keeping systems running when real customers and money depend on them. Draya builds agents the same way.
About Draya AI LabAshutosh, Founder
Test first.
Every agent is tested on real examples before it meets a customer.
Watch closely.
After launch, we review what it handled and handed over, every month.
Make failures safe.
When something goes wrong, the agent stops and hands over instead of guessing.
Questions owners ask us
Start with the job that repeats every day and costs you most: missed calls, slow replies to enquiries, or the same questions over and over. If you're not sure, the $750 audit compares the options and recommends one place to start.
Usually, yes. We start from the tools you already use, such as your phone line, calendar, website chat, WhatsApp, CRM, helpdesk or shared drive. The audit confirms what can connect, and how, before you commit to a build.
No. The agent takes the routine, repetitive work so your team has time for the conversations that need a person. Anything unusual, sensitive or upsetting goes to a person, with the full story attached.
No AI is perfect, so we design for mistakes. It answers only from information you approve, it can only take the actions you allow, and it hands over when it isn't sure. We test it on real cases before launch, review its conversations every month and fix what we find.
Where recordings, transcripts and customer data are stored, who can see them and how long they are kept is agreed in writing before anything goes live. What callers are told about the AI and about recording is agreed with you too, based on the rules where you operate.
Often, yes. We start by reviewing how it works today: what it knows, what it can do, where it goes wrong and how it hands over to people. Then we recommend whether to improve it, extend it or rebuild parts of it.
Tell us what's piling up
Tell us which job you'd like an agent to take off your team's plate. We'll reply by email to set up a 20-minute call.
Email hello@drayaailab.com with a line about the work you'd like to hand over, and we'll reply to set up a call.