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Sallra

How we build Sallra

4 November 2026

Good technology should make the work feel lighter, not move it into another system. We build Sallra around one focused job: help B2B sellers follow every quote toward a decision while keeping judgment, relationships, and the final send with the person behind the deal.

Start with the work that already exists

A sales team already has a place for customer records, a system for quotes, and an inbox where conversations happen. Adding software does not automatically improve that work. A new tool only earns its place when it removes a real piece of friction without asking the team to rebuild everything around it.

For Sallra, that friction appears after a quote is sent. The quote exists and the relationship exists, but the next touch is easy to lose among meetings, administration, and every other open opportunity. We start with that narrow gap. The technology is there to make the right next step visible and ready when the seller needs it.

Add a layer, not a new system of record

Sallra is designed to sit on top of the systems a business already trusts. CRM, ERP, and email keep their jobs. Sallra keeps the working context needed for quote follow-up, adds timing and status, and brings the next action into one place. A quote can be added as a PDF, and a connected mailbox can keep the customer conversation beside it.

That boundary matters. Building a focused layer lets us improve the stretch from quote sent to decision without pretending that one product should own every part of sales. It also gives teams a simpler way to adopt Sallra: keep the tools that already work, and add the follow-through that is missing.

Give each task the context it needs

Useful assistance needs context. A generic reminder does not know what was quoted, what the customer asked, or which decision is still open. Sallra can use selected quote details, relevant conversation history, timing, and seller instructions to prepare a next step that belongs to the deal in front of it.

That does not mean giving every service access to everything. AI drafting is routed through Berget with the context prepared for the requested task. The AI service does not receive direct access to Sallra’s database. We treat context as something with a job to do, not as a reason to move more data than the feature requires.

Keep people at the decision point

The seller knows the account, the promise behind the quote, and the relationship with the buyer. Software can watch timing, surface a reply, suggest a next step, and prepare a draft. The person still decides whether the message is right, edits it when needed, and presses send.

This is a deliberate product boundary. We want to automate preparation, not accountability. The result should be less time spent remembering and assembling, with more attention left for judgment, trust, and the conversation that moves the opportunity forward.

Build trust into the boundaries

Trust is easier to explain when it shows up in the architecture. The Sallra application is configured to run in Stockholm. Quote documents are kept in private storage and opened through short-lived links. Mailbox credentials are encrypted on the server. Company and owner boundaries are enforced in the data layer and in the application, and product analytics only starts after consent, using an EU processing region.

Each statement describes a specific choice. A regional application deployment is not the same as claiming that every provider, model, or support path is European. We would rather explain the boundaries we have built than use one broad label that hides how the product actually works.

Choose technology for the outcome

A technology decision is useful when it improves the seller’s day. Does it make the next action clearer? Does it fit the inbox and systems the team already uses? Does it keep access narrow and the person in control? Does it reduce administration without weakening the relationship behind the quote? Those questions matter more than adding another name to a stack.

The services and models available to us will continue to change. The principles should not. Sallra should remain a focused layer, use context with purpose, make its boundaries understandable, and leave the customer-facing decision with a person. That is how technology helps turn more quotes into decisions without getting in the way of the people doing the work.

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