Trusted records for AI agents | Svolta outcomes
Services, sold separately
1:1 AI ConsultTwo 45-minute calls a month with Mac, a written action list after each call, and a straight answer on the AI tools and pitches already on your desk.
AI Review and RoadmapA fixed-price look at where your team is losing hours. You get a ranked, costed roadmap showing what to automate first, what it should save, and what not to touch yet.
Custom AI AgentsWe build agents into the tools your team already uses. They handle repeat work like quote prep, supplier follow-up, customer updates, reporting, and reconciliation, with people keeping the judgment calls.
Outcome

Give the agent records it can trust

Most operators run 3 or more systems that disagree about customers, jobs, orders, or assets. Agents amplify whatever inconsistency exists. We make the agent respect the records your team trusts and flag the drift.

One source of truth per workflow, with the agent reading from it and disagreement between systems surfaced as a flagged exception. The reason it matters is simple: most operators have 3 or more systems that quietly disagree about the customer, job, order, or asset.

The clean-up work is invisible until you put an agent on top. Then it becomes the difference between a useful system and another tool your team stops trusting.

The agent does not fix the fragmentation. It amplifies it. We make the agent respect one source and flag everything else as drift.

What drives the result

Source-of-truth decisions in the Audit, made explicit before any agent gets built. The CRM might own customer details. The job system might own status. The ERP might own invoice and stock records. The decision is the client’s to make. The Audit forces it into the open so the agent does not have to guess.

Connections that pull from the system of record, not the stale copy another tool is holding. Reshaping messy data where the structure itself is the problem, scoped to what the agent needs to read. Drift checks that monitor disagreeing systems and flag exceptions for human review, so the team learns where the mess is hurting before the agent gives a wrong answer.

Source details preserved on every field the agent cites. When the agent writes “the customer is on plan B”, the value traces back to the source system, the time it was read, and the record it came from.

What an engagement looks like

This work sits inside the Custom AI Agent build. The scope depends on how many systems the workflow touches and how clean those records are. The output is a set of source rules, connections, quality checks, and operating notes the agent uses every day.

What we don’t promise

We do not migrate your CRM. We do not rebuild your ERP. We do not decide which of your 3 systems wins the customer-record argument, because that decision belongs to your team. We make the agent respect one source, flag the drift, and route disagreements to the person who can resolve them.

Book a free consultation and the source-of-truth designation per domain will be the first decision in the Audit document.

Book a free consultation.

Bring one workflow. A 30-minute call scopes the path. The Audit follows: a Business Analyst maps it, shows you exactly where an agent recovers the time, and hands you a costed plan in 1 to 3 weeks.

Book a free consultation