Seven PeaksSeven Peaks

Technology partner for companies with 10 to 250 employees

We find the bottlenecks, and improve workflows one task at a time.

For companies that need a flexible, hands-on technology adviser to modernise their workflows, internally and with their partners and customers.

  • Fixed-price mapping
  • Fixed monthly fee
  • Continuous improvement
  • The code is yours
Industries we have delivered to:

What we deliver

Four kinds of solutions, fitted to your workflows.

Agents and automation

Agents that read, sort and prepare the work, and a person who approves.

Examples

  • Quotes from site visit notes
  • Orders from email to ERP
  • Notifications to customers

Systems that work together

Accounting, CRM, inventory and specialist systems that share data, so nothing is entered twice.

Examples

  • Hours to invoice
  • One shared customer list
  • Product data to resellers

Apps and portals

Interfaces where your customers and employees find the answer themselves.

Examples

  • My page
  • Self-service for support
  • An app for your employees

Data and insight

Data from operations, sensors and systems, brought together into overviews and alerts that management uses.

Examples

  • Real-time operational data
  • Deviations in sensor data
  • Monthly report without Excel

From conversations with clients

Where your people spend their time today.

These statements come from conversations with Norwegian SMEs over the past year, in industries from construction to energy. We design automation in which controlled agents take over the repetitive work, with new, user-friendly interfaces where it makes sense.

Mapping and context

Most of the work sits between the systems.

01 · Mapping

We map the systems you have, and which of them talk to each other.

Through conversations and access to your systems we see how the work actually flows today.

02 · Weak spots

We find the weak points in the workflows.

Orders typed in twice, reports built by hand, and routines only one person knows. Pinpointing where the time goes.

03 · Opportunities

We connect the systems where it pays off most.

Orchestrated agents move information between the systems, and a person approves before anything goes live.

04 · Improvement

We evaluate and improve, one task at a time.

We review what has been delivered with you, and build further where it pays off most.

Context engineering

How well we know you decides the quality of what gets built.

Agents write code fast. Whether that code solves the right problem depends on what they know about you. So we keep everything we learn about your business in one place, and keep it current for as long as we work together. Our people use that context when they specify the work, and the agents use it when they build.

  • Your business model and goals
  • Your systems and how they connect
  • What has been decided, and why
  • Requirements, meeting notes and agreements
  • What has been tried before
Your contextstructured and current
  • A specification you approve
  • Code that fits your systems
  • Tests against your requirements

Orchestrated agentic development

Parallel agents at work, directed by experienced advisers.

Many have let AI write code and ended up with something that works in a demo, but not in production. What decides the outcome is how the agents are directed. With us, they work from a specification and a design you have approved, and with the context we have gathered about your business. Every change is tested against the requirements and reviewed by a developer before you approve it.

  1. 1People

    Specification and design

    Our advisers write the specification and design the solution with you, in your own visual identity. You approve both before anything is built.

  2. 2Agents

    Orchestrated build

    An orchestrator splits the work between agents with separate roles. The agents follow our own skills, written instructions for how we build, test and secure.

  3. 3Agents and people

    Testing and review

    The agents test against the requirements, and a developer reviews every change.

  4. 4People

    Approval

    You approve before anything goes live, and see the result in Bridge.

How we work

A mapping first. Then a partner who stays.

1First

Fixed-price mapping

We go through your systems, workflows and ambitions. You get a prioritised list of what to connect and automate first, and what it will return, whether or not you continue with us.

2Then

A fixed monthly fee as technology partner

We work through the list in the order you decide, one task at a time or several in parallel. The fee is the same every month, and you approve the specification before we build.

3Along the way

Evaluation and improvement

We regularly review what has been delivered with you, and adjust what misses the mark. New requests and improvements go into Bridge as tasks.

Bridge, the collaboration space

The space where people and agents work together.

In Bridge, your employees, our advisers and the agents work in the same space. The agents prepare, build and test. The people decide, approve and follow up. Everyone sees the same thing: what is waiting on whom, what has been decided, and the status of the roadmap you steer by.

  • Raise a task 24/7, and the agents analyse it and prepare it for execution.
  • Thorough specifications are written and verified before production.
  • Built-in security checks before every release: tests, code review and approval.
  • Decisions, the contract and meeting notes sit alongside the tasks, and you can see the code throughout.

We hunt for gains on your behalf

AI is moving at a pace no business can keep up with on its own.

The research group METR measures how large a task an AI agent can solve on its own, counted in the time it would take a person. In 2019 that was a few seconds. Today the best agents handle tasks that take a person more than 16 hours, two full working days, and since 2023 the length has doubled roughly every four months.

We keep up and hunt for gains on your behalf. Every quarter we review where the next gain is biggest, and we tell you when something is not worth the money. That leaves your time for the core of your business.

Curve showing that the length of tasks AI agents can complete on their own has grown from a few seconds in 2019 to about 50 minutes in 2025 and over 16 hours in 2026.201920252026a few secondsabout 50 minutesover 16 hoursnow doubling about every four months
How long tasks the best AI agents can complete on their own at 50 per cent reliability, measured by how long the task takes a person. The tasks are mostly software work, and measurements above 16 hours are uncertain. Source: METR, 2025 and 2026.

Three promises

What you can expect from us.

What you own stays yours

The code, the contract and the decisions are yours. We do the work, you own the result.

We keep up with AI

We take on following the field and translating it into your day-to-day, so you can stay focused on running the business.

Your people get stronger

You see how we work and why we make the choices we do. That builds capability on your side instead of moving it out.

Questions we often get

What most people want to know before we start.

We already use Claude Code or Copilot. Why do we need you?

If you have developers who can lead agents, that is a good choice. Most companies we work with do not. We take responsibility for understanding the problem, writing the specification, building, testing and running it, and we answer for the result. The tools are the same. The experience and the accountability are what you get from us.

Our systems are old. Will this work?

In most cases, yes. Where a system has an open interface, as Tripletex and Business Central do today, we use it. Where there is none, we can read the database or the documentation, and in some cases let an agent work through the user interface. We always build in a separate test environment, and nothing touches production until a person has approved it.

What about privacy and the EU AI Act?

We only get the access the work requires, and personal data is kept out wherever possible. You get a data processing agreement before we start. When the solution talks to your users, it has to be clear that they are talking to an AI, as the EU AI Act requires.

How do we follow up that it works?

The review shows where the time goes and where there is most to gain, before you decide on the next step. Along the way we review what has been delivered with you, and improve what misses the mark.

Who owns what gets built?

You do. The code, documentation and decisions belong to you. While we work together, the code usually lives in our repository, and you have full access to it. If you end the partnership, we hand everything over to you.

Contact

Let us find the gains in your business.

The first meeting takes an hour. Tell us how you work today, and we will tell you where we think there is most to gain, and what a mapping would give you.