Companies don’t have an AI problem. They have a context problem.
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AGENTIC OS FOR BUSINESS
The agentic OS for your business
The agentic OS for your business
It starts with your context. Byte&Kite turns it into your company’s knowledge base and a training hub for every colleague - and when a routine proves repeatable, it becomes an agent.
Now onboarding a small group of design partner
Most teams we meet have rolled out AI once or twice already. It stalled the same way both times: people didn't know what to do with it in their actual job.
And the second question is never about capability — it's about control.
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THE PATTERN WE KEPT SEEING
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AFTER ROLLOUT
What changes once you're in
Your knowledge finally answers back
Ask how anything works - the process, the policy, the template - and get the current answer with its source. Not a guess from an old doc or a busy colleague.
Your knowledge finally answers back
Ask how anything works - the process, the policy, the template - and get the current answer with its source. Not a guess from an old doc or a busy colleague.
Every colleague learns AI on their own job
No generic course. Your salesperson preps meetings, your accountant closes the month — each person learns AI inside work they already own.
Every colleague learns AI on their own job
No generic course. Your salesperson preps meetings, your accountant closes the month — each person learns AI inside work they already own.
Routine turns into agents
When a task proves repeatable, an agent takes it over inside an approved workflow. People keep the decisions; the routine stops needing them.
Routine turns into agents
When a task proves repeatable, an agent takes it over inside an approved workflow. People keep the decisions; the routine stops needing them.
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GETTING STARTED WITH BYTE&KITE
One setup.
A workspace for every role.
1
Connect your tools
ADMIN
The admin connects your company's tools, invites the team, and assigns roles. Company data stays where it already lives
2
Learn AI for your role
Employees complete practical AI lessons built for their role and experience level.
3
Learn how your company works
They see the approved tools, workflows, standards, and examples that matter to their job.
4
Practise before doing
Work through realistic scenarios built from your company's own processes.
5
Automate repetitive work
Once a task becomes repeatable, it can be turned into an approved tool or agent for everyone else.
1
ADMIN
1
Connect your tools
One admin connects your company's tools, invites the team, and assigns roles. Your data stays where it already lives
2
Get your course, generated for your role
Short, hands-on lessons compiled from how your company works - matched to each person's role and experience level. No generic AI course in sight
2
3
Learn how your company works
Each person sees the approved tools, workflows, standards, and examples that matter to their job - the way your company actually does things
3
4
Practice before doing
Work through realistic scenarios built from your own processes — before anything touches real customers or real data
4
5
Watch routine become agents
When a task proves repeatable, it graduates into an agent running an approved workflow - logging every step
5
/
GETTING STARTED WITH BYTE&KITE
One setup.
A workspace for every role.
One setup.
A workspace for every role.
1
ADMIN
1
Connect your tools
One admin connects your company's tools, invites the team, and assigns roles. Your data stays where it already lives
2
Get your course, generated for your role
Short, hands-on lessons compiled from how your company works - matched to each person's role and experience level. No generic AI course in sight
2
3
Learn how your company works
Each person sees the approved tools, workflows, standards, and examples that matter to their job - the way your company actually does things
3
4
Practice before doing
Work through realistic scenarios built from your own processes — before anything touches real customers or real data
4
5
Watch routine become agents
When a task proves repeatable, it graduates into an agent running an approved workflow - logging every step
5
/
BY ROLE
What this looks like in your job
The journey stays the same. The work changes with the role. Pick a role to see how Byte&Kite fits into their day-to-day work
SDR
PROJECT MANAGER
ACCOUNTANT
SUPPORT AGENT
RECRUITER
CONTENT MARKETER
Copilots ask every time. Agents run only workflows a human has already approved — and log every step.
Runs automatically
/01
Open your workspace
Your pipeline, ICP notes, call scripts, and CRM — one workspace that knows what "qualified" means here
/02
Take your generated course
A course from your own playbook: how outreach works here, what a good first touch looks like, where the line is
/03
Practice on real work
Research a real account and draft the first email — from approved sources, every fact cited
Your call
/04
Meet your copilot
Your copilot preps each call: account brief, talking points, open threads. You review before anything moves
Runs automatically
/05
Automate repeatable work
After every call, the agent drafts the CRM update and follow-up, files them for your OK, and keeps the next step from going quiet
SDR
PROJECT MANAGER
ACCOUNTANT
SUPPORT AGENT
RECRUITER
CONTENT MARKETER
Copilots ask every time. Agents run only workflows a human has already approved — and log every step.
Runs automatically
/01
Open your workspace
Your pipeline, ICP notes, call scripts, and CRM — one workspace that knows what "qualified" means here
/02
Take your generated course
A course from your own playbook: how outreach works here, what a good first touch looks like, where the line is
/03
Practice on real work
Research a real account and draft the first email — from approved sources, every fact cited
Your call
/04
Meet your copilot
Your copilot preps each call: account brief, talking points, open threads. You review before anything moves
Runs automatically
/05
Automate repeatable work
After every call, the agent drafts the CRM update and follow-up, files them for your OK, and keeps the next step from going quiet
/
TRUST & CONTROL
AI doesn't act without people
AI doesn't act without people
Your data stays where it is
Connect the tools you already use. Company data stays in those systems, and employees only see what they already have permission to access
AI doesn't work without people
Byte&Kite can read, prepare, and suggest. Nothing is sent, updated, or approved without the right person
AI doesn't work without people
Byte&Kite can read, prepare, and suggest. Nothing is sent, updated, or approved without the right person
Every decision is traceable
See which information was used, who approved it, and what happened next
Every decision is traceable
See which information was used, who approved it, and what happened next
AI supports people
Byte&Kite helps people do their work — it doesn't score employees or make decisions about them
AI supports people
Byte&Kite helps people do their work — it doesn't score employees or make decisions about them
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SECURITY & COMPLIANCE
European rules aren't our obstacle. They're our spec.
European rules aren't our obstacle. They're our spec.
Byte&Kite is built for GDPR and the EU AI Act from day one. Your data stays in your systems and employees see only what they’re already permitted to see. AI never scores people. And agents only run workflows a human has approved - with a full audit trail behind every action.
/01
GDPR
designed for compliance
/01
EU AI ACT
no employee scoring
/01
PERMISSIONS
inherited from your systems
/01
AUDIT TRAIL
every action logged
COMPANY DATA
Stays in your existing systems
AI ACTIONS
Always require approval
DECISIONS
Fully traceable
EMPLOYEES
AI assists, people decide
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WHY BYTE&KITE
Why we're building this
Why we're building this
For two years, companies paid us to build this by hand - mapping how they work, untangling their knowledge, teaching each team to use AI inside real jobs, wiring up the agents. Every engagement, we rebuilt the same foundation. Byte&Kite is that foundation as a product.
We run our own two companies on it every day. It’s how we work - not just what we sell.
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FOUNDER
"A system proves itself on the Tuesday morning it runs without a single reminder from you. Our job is to get it to that state."
Rodion Lozovoi, founder
Teaches business owners to work with AI: educational YouTube channel, team and conference talks, quoted by AIN.UA on companies' transition to the AI-native model.
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MANIFESTO
Built by an AI-native team
Our engineering team brings more than 10 years of product experience. Byte&Kite is built and run with the same AI workflows we sell - we’re our own first customer.
Official partnerships
Certified partners of ClickUp, Anthropic, and Make. We build on the platforms our customers already use.
From services to software
Two years of AI implementation projects showed us the same patterns again and again. Byte&Kite turns that work into software.
Shaped with early customers
Ten companies are testing the early product and helping shape the first production version.
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DESIGN-PARTNER ACCESS
Help build the first version of Byte&Kite
Help build the first version of Byte&Kite
We're inviting a small number of companies to put one real workflow into Byte&Kite - meeting prep, invoicing, reporting, whatever hurts most - and shape the product with us while it's being built. You get a working workflow and a direct line to the founding team. We get the feedback that makes the product real.
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USE CASES
Systems already running in production
Systems already running in production
Before the platform, we built these by hand for paying clients. Byte&Kite is those patterns, productized
MANUFACTURING
/12 WEEKS
18% less excess stock. Zero disrupted production runs.
/Client
A made-to-order furniture manufacturer — 140 employees, two sites, ERP + Excel + approvals in messengers
/CHALLENGE
Approvals took five days of chat back-and-forth. Excess stock grew because no one saw the full picture; shortages appeared on the day a batch was due
/What we did
PROCUREMENT AGENT
Collects requests from the shop floor, checks ERP stock levels and drafts supplier orders. The manager makes one decision instead of a week of messages.
YOUR CALL
INVENTORY AGENT
Reconciles stock against the production plan nightly: flags excess and warns about shortages two weeks before a run.
RUNS AUTOMATICALLY
PLANNER COPILOT
“What could disrupt this week’s shipments?” gets an answer from the data in seconds, not from walking the floor.
YOUR CALL
/RESULTS IN 12 WEEKS
−18%
EXCESS INVENTORY
5 days → 2 days
DAYS PURCHASE APPROVAL CYCLE
0
PRODUCTION RUNS DISRUPTED BY SHORTAGES
No system replacement: ERP, spreadsheets and familiar messengers stayed in place.
E-COMMERCE
/8 WEEKS
22% fewer order cancellations and returns processed twice as fast
/Client
A home goods online store - 35 employees, ~12,000 orders a month, own warehouse
/CHALLENGE
Support was drowning in “where is my order?”. Orders got stuck between payment and shipping - customers cancelled before anyone noticed. Returns took 5 days of manual handling.
/What we did
Order agent
Monitors every order from payment to shipping; when one gets stuck, it finds the owner and follows up until the status moves
RUNS AUTOMATICALLY
Support agent
Drafts replies to routine requests from live delivery data; an operator only confirms the tricky cases
YOUR CALL
Returns agent
Runs each return from request to refund by the store’s own playbook
RUNS AUTOMATICALLY
/RESULTS IN 8 WEEKS
−22%
order cancellations
70%
of routine support requests resolved without an operator
5 days → 2 days
to process a return
The store platform, CRM and delivery services stayed as they were.
LOGISTICS & DISTRIBUTION
/10 WEEKS
27% faster from order to shipment
/Client
An FMCG distributor - 90 employees, 1,200 SKUs, three warehouses, nationwide delivery
/CHALLENGE
Managers collected shipment statuses by hand from the ERP, carriers and email — customers waited hours for an answer. Some SKUs sat as dead stock while others were chronically short. Delivery notes, CMRs and reconciliation acts kept getting lost between departments
/What we did
Shipment agent
Pulls statuses from the ERP and carriers and proactively updates customers; a manager steps in only on exceptions
RUNS AUTOMATICALLY
Inventory agent
Proposes a weekly stock reallocation across warehouses based on actual demand; the category manager makes the call
YOUR CALL
Documents agent
Matches delivery notes, CMRs and acts against invoices and flags mismatches before they turn into overdue receivables
RUNS AUTOMATICALLY
/RESULTS IN 10 WEEKS
−27%
order-to-shipment time
−15%
stock of slow-moving SKUs
~120 hours/month
of manual status and paperwork lifted from the team
MARKETING AGENCY
/6 WEEKS
60 hours of monthly reporting - back into client work
/Client
A performance marketing agency - 25 people, 30+ active clients
/CHALLENGE
Every Monday the team spent half a day pulling reports from ad accounts by hand. Onboarding a new client stretched to three weeks over accesses and briefs. Reporting deadlines occasionally slipped through
/What we did
Reporting agent
Pulls weekly numbers from Google Ads, Meta and analytics into the agency’s template and drafts the commentary; the account manager reviews and sends
RUNS AUTOMATICALLY
Onboarding agent
Runs the access checklist, collects the brief and sets up the project space from the agency’s template
RUNS AUTOMATICALLY
Account copilot
“Where do we stand with client X before the call?” - work status, this week’s results and open items in one answer
YOUR CALL
/RESULTS IN 6 WEEKS
~60 hours/month
freed from reporting (30 clients)
3 weeks → 5 days
new client onboarding
0
missed reporting deadlines since launch
MANUFACTURING
/12 WEEKS
18% less excess stock. Zero disrupted production runs.
/Client
A made-to-order furniture manufacturer — 140 employees, two sites, ERP + Excel + approvals in messengers
/CHALLENGE
Approvals took five days of chat back-and-forth. Excess stock grew because no one saw the full picture; shortages appeared on the day a batch was due
/What we did
PROCUREMENT AGENT
Collects requests from the shop floor, checks ERP stock levels and drafts supplier orders. The manager makes one decision instead of a week of messages.
YOUR CALL
INVENTORY AGENT
Reconciles stock against the production plan nightly: flags excess and warns about shortages two weeks before a run.
RUNS AUTOMATICALLY
PLANNER COPILOT
“What could disrupt this week’s shipments?” gets an answer from the data in seconds, not from walking the floor.
YOUR CALL
/RESULTS IN 12 WEEKS
−18%
EXCESS INVENTORY
5 days → 2 days
DAYS PURCHASE APPROVAL CYCLE
0
PRODUCTION RUNS DISRUPTED BY SHORTAGES
No system replacement: ERP, spreadsheets and familiar messengers stayed in place.
E-COMMERCE
/8 WEEKS
22% fewer order cancellations and returns processed twice as fast
/Client
A home goods online store - 35 employees, ~12,000 orders a month, own warehouse
/CHALLENGE
Support was drowning in “where is my order?”. Orders got stuck between payment and shipping - customers cancelled before anyone noticed. Returns took 5 days of manual handling.
/What we did
Order agent
Monitors every order from payment to shipping; when one gets stuck, it finds the owner and follows up until the status moves
RUNS AUTOMATICALLY
Support agent
Drafts replies to routine requests from live delivery data; an operator only confirms the tricky cases
YOUR CALL
Returns agent
Runs each return from request to refund by the store’s own playbook
RUNS AUTOMATICALLY
/RESULTS IN 8 WEEKS
−22%
order cancellations
70%
of routine support requests resolved without an operator
5 days → 2 days
to process a return
The store platform, CRM and delivery services stayed as they were.
LOGISTICS & DISTRIBUTION
/10 WEEKS
27% faster from order to shipment
/Client
An FMCG distributor - 90 employees, 1,200 SKUs, three warehouses, nationwide delivery
/CHALLENGE
Managers collected shipment statuses by hand from the ERP, carriers and email — customers waited hours for an answer. Some SKUs sat as dead stock while others were chronically short. Delivery notes, CMRs and reconciliation acts kept getting lost between departments
/What we did
Shipment agent
Pulls statuses from the ERP and carriers and proactively updates customers; a manager steps in only on exceptions
RUNS AUTOMATICALLY
Inventory agent
Proposes a weekly stock reallocation across warehouses based on actual demand; the category manager makes the call
YOUR CALL
Documents agent
Matches delivery notes, CMRs and acts against invoices and flags mismatches before they turn into overdue receivables
RUNS AUTOMATICALLY
/RESULTS IN 10 WEEKS
−27%
order-to-shipment time
−15%
stock of slow-moving SKUs
~120 hours/month
of manual status and paperwork lifted from the team
MARKETING AGENCY
/6 WEEKS
60 hours of monthly reporting - back into client work
/Client
A performance marketing agency - 25 people, 30+ active clients
/CHALLENGE
Every Monday the team spent half a day pulling reports from ad accounts by hand. Onboarding a new client stretched to three weeks over accesses and briefs. Reporting deadlines occasionally slipped through
/What we did
Reporting agent
Pulls weekly numbers from Google Ads, Meta and analytics into the agency’s template and drafts the commentary; the account manager reviews and sends
RUNS AUTOMATICALLY
Onboarding agent
Runs the access checklist, collects the brief and sets up the project space from the agency’s template
RUNS AUTOMATICALLY
Account copilot
“Where do we stand with client X before the call?” - work status, this week’s results and open items in one answer
YOUR CALL
/RESULTS IN 6 WEEKS
~60 hours/month
freed from reporting (30 clients)
3 weeks → 5 days
new client onboarding
0
missed reporting deadlines since launch
MANUFACTURING
/12 WEEKS
18% less excess stock. Zero disrupted production runs.
/Client
A made-to-order furniture manufacturer — 140 employees, two sites, ERP + Excel + approvals in messengers
/CHALLENGE
Approvals took five days of chat back-and-forth. Excess stock grew because no one saw the full picture; shortages appeared on the day a batch was due
/What we did
PROCUREMENT AGENT
Collects requests from the shop floor, checks ERP stock levels and drafts supplier orders. The manager makes one decision instead of a week of messages.
YOUR CALL
INVENTORY AGENT
Reconciles stock against the production plan nightly: flags excess and warns about shortages two weeks before a run.
RUNS AUTOMATICALLY
PLANNER COPILOT
“What could disrupt this week’s shipments?” gets an answer from the data in seconds, not from walking the floor.
YOUR CALL
/RESULTS IN 12 WEEKS
−18%
EXCESS INVENTORY
5 days → 2 days
DAYS PURCHASE APPROVAL CYCLE
0
PRODUCTION RUNS DISRUPTED BY SHORTAGES
No system replacement: ERP, spreadsheets and familiar messengers stayed in place.
E-COMMERCE
/8 WEEKS
22% fewer order cancellations and returns processed twice as fast
/Client
A home goods online store - 35 employees, ~12,000 orders a month, own warehouse
/CHALLENGE
Support was drowning in “where is my order?”. Orders got stuck between payment and shipping - customers cancelled before anyone noticed. Returns took 5 days of manual handling.
/What we did
Order agent
Monitors every order from payment to shipping; when one gets stuck, it finds the owner and follows up until the status moves
RUNS AUTOMATICALLY
Support agent
Drafts replies to routine requests from live delivery data; an operator only confirms the tricky cases
YOUR CALL
Returns agent
Runs each return from request to refund by the store’s own playbook
RUNS AUTOMATICALLY
/RESULTS IN 8 WEEKS
−22%
order cancellations
70%
of routine support requests resolved without an operator
5 days → 2 days
to process a return
The store platform, CRM and delivery services stayed as they were.
LOGISTICS & DISTRIBUTION
/10 WEEKS
27% faster from order to shipment
/Client
An FMCG distributor - 90 employees, 1,200 SKUs, three warehouses, nationwide delivery
/CHALLENGE
Managers collected shipment statuses by hand from the ERP, carriers and email — customers waited hours for an answer. Some SKUs sat as dead stock while others were chronically short. Delivery notes, CMRs and reconciliation acts kept getting lost between departments
/What we did
Shipment agent
Pulls statuses from the ERP and carriers and proactively updates customers; a manager steps in only on exceptions
RUNS AUTOMATICALLY
Inventory agent
Proposes a weekly stock reallocation across warehouses based on actual demand; the category manager makes the call
YOUR CALL
Documents agent
Matches delivery notes, CMRs and acts against invoices and flags mismatches before they turn into overdue receivables
RUNS AUTOMATICALLY
/RESULTS IN 10 WEEKS
−27%
order-to-shipment time
−15%
stock of slow-moving SKUs
~120 hours/month
of manual status and paperwork lifted from the team
MARKETING AGENCY
/6 WEEKS
60 hours of monthly reporting - back into client work
/Client
A performance marketing agency - 25 people, 30+ active clients
/CHALLENGE
Every Monday the team spent half a day pulling reports from ad accounts by hand. Onboarding a new client stretched to three weeks over accesses and briefs. Reporting deadlines occasionally slipped through
/What we did
Reporting agent
Pulls weekly numbers from Google Ads, Meta and analytics into the agency’s template and drafts the commentary; the account manager reviews and sends
RUNS AUTOMATICALLY
Onboarding agent
Runs the access checklist, collects the brief and sets up the project space from the agency’s template
RUNS AUTOMATICALLY
Account copilot
“Where do we stand with client X before the call?” - work status, this week’s results and open items in one answer
YOUR CALL
/RESULTS IN 6 WEEKS
~60 hours/month
freed from reporting (30 clients)
3 weeks → 5 days
new client onboarding
0
missed reporting deadlines since launch
/
CLIENTS
Built together with
Built together with
