From architecture to agents: AI integrated into your operation.
For companies that already know where they're headed and need a custom AI system, integrated end to end with their current systems, not a set of loose parts.
For teams that already have a roadmap in hand.
Good fit
Operations that came out of a diagnostic with a roadmap in hand, or that have already tested AI in one process and now need to scale to several workstreams on a shared architecture. Companies where the solution has to talk to the ERP, the CRM, finance and customer service, with governance in place and people in charge.
Not a fit
If it isn't clear yet where to start, the project begins without priorities. In that case, the Diagnostic comes first. If it's a single workstream with a lean scope, the AI Sprint solves it in two weeks.
A shared foundation, with the workstreams on top.
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A shared architecture for every workstream
An integration, data and governance foundation on which each agent or automation is built, instead of isolated solutions that don't talk to each other.
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Custom agents and automations
From design to code, for the prioritized processes.
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End-to-end integration with your current systems
ERP, CRM, finance, customer service, and the spreadsheets still doing a system's job.
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Decisions kept in human hands
Anything that's a decision stays with people; the agent prepares, suggests and handles the repetitive work.
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Documentation and team enablement
A documented handover and a team trained to run and evolve the system.
Architecture first, then stage by stage.
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Architecture
Design of the shared foundation: integrations, data, security, agent patterns. Delivered before any workstream goes into build.
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Workstreams in stages
Each agent or automation is a stage with fixed scope, timeline and terms. Stages go into production one by one, not all at the end.
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Integration and assisted operation
Integration with your current systems and a period of supervised operation for each stage.
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Evolution
An ongoing retainer for teams that want Pixelwolf to keep evolving the system after handover.
A business owner and a technical owner per workstream.
A business owner and a technical owner for each workstream. Access and integration environments from the architecture stage on. Weekly check-ins.
Finance, customer service, sales, operations and management.
Finance (reconciliation, collections, document analysis), customer service (triage, response, escalation), sales (qualification, proposals, follow-up), operations (planning, inspection, documentation) and management (reports, alerts and decision routines run by agents).
Brands that have built with Pixelwolf.
The questions we answer on the first call.
What's the difference between a project and several sprints?
The architecture. Several sprints solve several processes in isolation; a project builds a shared integration, data and governance foundation, and every workstream builds on it. That costs more at the start and much less from the third workstream on.
How does pricing work if the scope is large?
In stages. Each workstream has a fixed scope, timeline and price, and goes into production before the next one starts. You don't sign a one-year project; you sign the next stage, with the results of the previous one in hand.
Do you build the agents or configure off-the-shelf tools?
Both, depending on the workstream. When a tool already does the job, we configure and integrate it. When none does, or the cost per operation doesn't add up, we build. The choice is presented with pros, cons and monthly cost.
Can our team run it afterward?
Yes, and that's a delivery criterion. Every stage is handed over documented, with the team trained. If you'd rather have Pixelwolf look after its evolution, there's a monthly retainer, contracted separately.
What about data security?
Governance and security are part of the architecture, defined before the first workstream: what goes through an AI model, what doesn't, where data lives and who approves exceptions. We work under NDA and, when needed, in segregated environments.
Who owns the code?
You do. Repositories, credentials and documentation stay with your team.
Do we need to do the Diagnostic first?
It isn't required, but it's the shortest path: the roadmap comes out with scope, architecture and business case already validated. Without a prior diagnostic, the architecture stage absorbs part of that work.
Ready to talk about your operation?
In a first conversation, we get to know your context and point out where AI creates the most value.