Software for the work that should not be manual.
Lesscode builds automation, AI products, and the dependable infrastructure behind them.
What is slowing the business down?
Buyers rarely need “an AI.” They need a recurring problem removed without creating a new one.
Proof, not promises.
Three useful ways into the work.
Automate an operation
We map the actual handoffs, exceptions, and approvals before touching the tooling. The result fits the way the business works.
Build an AI product
From the first usable release through multi-tenant architecture, billing, evaluations, and production operations.
Repair what is not working
We trace brittle workflows, bad retrieval, rising model costs, and slow responses back to the engineering decisions causing them.
What Lesscode actually does.
Lesscode is an AI and software engineering studio. We build systems that remove recurring manual work: AI voice agents that answer and qualify calls around the clock, workflow automation that moves data between the tools a team already uses, retrieval systems that answer questions from company documents with citations, and document processing that turns PDFs and statements into structured records.
Alongside that we do the ordinary engineering those systems depend on: Next.js and React applications, Python APIs and data pipelines, mobile apps, and the integrations that connect them to a CRM, a billing system, or a warehouse. It is one studio because the AI layer is only as reliable as the software holding it up.
A large share of our work is repair. Teams come to us with an assistant that hallucinates, retrieval that returns the wrong document, model costs that climbed without warning, or an automation that fails quietly and is discovered by a customer. An audit traces those symptoms back to the engineering decisions that caused them, and says plainly what is worth fixing and what is worth replacing.
We also build and run our own software — AI Receptionist, Agencly, and Social Pilot — which means we carry the support queue and the infrastructure bill for the same class of system we build for clients. Work is organised by use case and by industry, and every engagement ends with you owning the code, the schemas, and the deployment.
Products we operate.
Running our own software keeps us close to support queues, release pressure, infrastructure costs, and real users.
Explore the products- 01
Read the room
We learn the operation, users, constraints, and the cost of doing nothing.
- 02
Prove the hard part
A focused pilot tests the riskiest assumption before a full build.
- 03
Ship in working slices
Short, visible releases keep the product useful and the scope honest.
- 04
Own the outcome
Monitoring, documentation, and clean handoff are part of the build.
Before we talk.
01What does a typical project cost?
Small audits and integrations start at $1,500. Most focused AI workflows, voice agents, and knowledge systems land between $4,000 and $12,000. Larger products are scoped in stages, with a fixed price for each stage.
02How quickly can we ship something useful?
A focused workflow or voice system can often be live in three to four weeks. Larger products typically move through an initial pilot, then a series of production releases over eight to twelve weeks.
03Do we own the work?
Yes. You own the source code, system design, prompts, schemas, and deployment configuration produced for the project. We do not create proprietary agency lock-in.
04Can you work with our existing software?
Usually. We regularly connect CRMs, billing tools, calendars, support systems, databases, and internal APIs. The first technical review tells us what can be reused and what needs to change.
Have a process that should work better?
Bring us the bottleneck, the brittle build, or the idea. We'll give you a direct read on what to do next.