Can the agents run on-premises or only in the cloud?

Both. For regulated or data-residency-sensitive clients we run and fine-tune open-weights models (Llama, Qwen, Mistral, Gemma, DeepSeek) entirely on your own hardware via LLM Studio. For most other workloads we use frontier cloud models like Claude and GPT behind your own cloud account. The decision is made during feasibility, not by default.

What data do you need from us to get started?

The discovery meeting needs almost nothing — just a real conversation about how the business runs today. For the build phase we typically need sample data (documents, tickets, exports), access to the systems the agent will read from and write to, and a named owner on your side to approve the first releases.

Who owns the code and the models?

You do. Everything we build is committed to your GitHub organisation from commit one: application code, evaluation harness, prompts, infrastructure, runbooks. If we part ways, your engineers inherit a working system — not a black box.

What happens if the agent starts making mistakes in production?

Every agent we ship has an evaluation harness, observability, cost and error dashboards, and a human approval gate on anything with real consequences. If an agent drifts, the dashboards surface it before a user notices. We monitor the KPI monthly and retrain or retire agents that stop earning their keep.

Do you work with startups or only established businesses?

Both. The engagement shape is the same — we pick one or two agents that move the biggest numbers with the least risk. Startups typically use us to build the AI core of their product; established businesses use us to automate internal operations. The founder, Vlad, personally runs every engagement.

Our approach

A four-phase method for outcome-first AI delivery.

Q: How do you price engagements?

Every engagement is quoted up front at a fixed price. The quote breaks out the build cost, the projected monthly run cost, and the cost of doing nothing. No retainers, no hourly billing surprises, no line items that appear later.

We do not start with a model. We start with your business. Every QwertyBit engagement follows the same four phases — designed so that cost, privacy, feasibility and business impact are all on the table before a single agent ships.

How an engagement starts

Three meetings. Everything else is handled.

We keep it light on your calendar. Three short conversations, with everything in between streamlined behind the scenes and delivered by email.

Discovery meeting

A 60-minute session where we analyse your business holistically — operations, data, tools, handoffs — and map where time and cost are leaking.

We go away and prepare a ranked set of business cases — sent to you by email before the next meeting.

Prioritisation meeting

We review the ranked business cases together, agree what gets optimised first, and walk through transparent costs for each option.

Scope, quote and agreement go over email — no extra meetings required.

Kick-off meeting

Right after the agreement is signed, we meet to align on goals, milestones, tools and cadence — and the collaboration begins.

No obligations. The discovery meeting is free.

Understand

A single holistic discovery session where we walk through the business with you, end to end, and write down what really happens — not the org-chart version.

Revenue engine, operations, finance, data stack, tooling spend, people time. We document the real flows, audit data quality and ownership, and leave the session with a living map of where the business is fastest and where it slows down.

What happens inside this phase

Stakeholder conversations across the functions that matter
Process map of what actually happens vs. what's on paper
Data inventory — what you have, what's clean, who owns it
Vendor & tooling spend review

Prioritise

We come back with a ranked list of improvement areas — scored on impact, feasibility and risk — and sit down with you to decide which one (or two) we focus on first.

Every manual step is scored against a simple matrix: business impact, technical feasibility, data readiness, risk. You see the Opportunity Matrix and we debate trade-offs together. The meeting ends with a clear shortlist and a transparent, fixed-price quote for each option.

What happens inside this phase

Ranked opportunity matrix — impact, feasibility, risk
Go / defer / drop decision on every candidate
Fixed-price quote with build cost, monthly run cost, and cost of doing nothing
Clear definition of success (the KPI we will measure)

Build

We build in two-week increments so you see working software fast. A human approves every sensitive action, and you watch cost, quality and errors on a dashboard the whole time.

Each agent ships with guardrails baked in: quality checks before anything goes live, a human approval gate for actions that affect customers or money, observability for cost and latency, and reversible operations so nothing lands that cannot be rolled back. You approve what goes to production, every release.

What happens inside this phase

Two-week release cadence — you always see progress
Human approves every action with real consequences
Quality checks block regressions before users see them
A dashboard shows cost per run, latency, and error rate
Data stays where it belongs — privacy designed in, not bolted on

Optimise

Shipping is not the end. We monitor the number the agent exists to move, tune it as your business changes, and bring new opportunities back to the prioritisation meeting.

Some agents grow. Some are retired. Both are healthy outcomes. We track the KPI against its target, retrain when performance drifts, and every quarter we refresh the opportunity matrix so the next agent is always the one that pays back fastest.

What happens inside this phase

Monthly KPI review against the original target
Drift detection and retraining cadence
Cost and latency tuning as usage changes
Quarterly opportunity refresh — what's next?

Transparent pricing, transparent outcomes

Every engagement is quoted up front. You see the build cost, the projected monthly run cost, and the cost of doing nothing. If an agent stops moving the KPI it exists to move, we retire or rework it — no-one benefits from shelfware.

Costs up front, no surprises.

Every engagement starts with a transparent budget. You see the cost to build, the cost to run, and the projected cost of not implementing the agent. No line items appear later.

Business impact, measured directly.

We tie each agent to a measurable KPI — hours saved, error rate, conversion, cycle time. If it does not move the number, it does not ship.

Efficiency earns the right to scale.

Scaling a broken process just multiplies cost. We optimise operations first so the next growth phase runs on a leaner engine.

FAQ

Questions we hear most

A first working agent is in production within 8–12 weeks from the discovery meeting. We ship in two-week increments, so you see real progress every fortnight rather than a single big-bang delivery.

Ready to see where agents can take cost out of your business?

Tell us about the process you want to optimise. Vlad personally reviews every brief and replies within one business day.

Book a business audit Read the approach