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Exponential delivery. Measured.

Working AI systems inside your organization in 30 days

Ahelia embeds AI engineers in your team, delivers on a 30-day rhythm, and hands the tools to your own people. Measured, source-grounded, yours.

  • 2026-06-01 17:42 · 17,250 km national road network surveyed · 27 regional offices · 4 days
  • 2026-06-14 09:03 · EUR 1.49bn costed intervention program · ~5 person-days of human effort · public at roads.mrrb.bg
  • 88%

    of organizations use AI in at least one business function

  • ~5%

    capture value at scale

  • ~95%

    of pilots never reach the bottom line

Most AI adoption never reaches the bottom line

In large companies, AI is real but siloed: vision in operations, generative in comms, coding in IT. The value was never inside the departments. It is in the wiring between them. In small companies, implementation is simply lacking: no AI staff, no time to build one.

This is a value problem, not a technology problem. The lever is rewiring, not the model.

One engagement, four moves

A productized engagement with a defined cadence. The full detail lives on the Approach page.

  1. Forward-deployed engineers. Not tenders.

    AI tool experts who understand business processes, embedded in your team from day one.

  2. Local talent. Not certificates.

    We find 2 to 3 process-thinking people inside your organization who know how it actually works.

  3. C-level access. Not committees.

    A reporting line to the top: data, systems, decisions.

  4. Deliverables. Not roadmaps.

    A 30-day rhythm: a working tool on real data by day 30, tools in daily use by day 100.

Results measured from session logs

  • 2 people, under a month

    two live deployments at the Bulgarian Road Infrastructure Agency (RIA) plus a ~1,000-page digital-transformation strategy

  • 17,250 km in 4 days

    RIA's national road network surveyed: 27 regional offices, 402,000 measurements, results public at roads.mrrb.bg

  • EUR 1.49bn

    costed intervention program, produced in about 5 person-days of human effort

  • 2M+ snapshots/day

    Sofia computer vision across 4,000+ in-vehicle cameras, real-time occupancy on 1,000+ vehicles, built in 2021, before the LLM wave

Named work: legalize-bg (open source, ~3,574 Bulgarian acts), National Stop Register (13,974 stops, NeTEx/GTFS), Stampit (shipped macOS product), GHG and LEED service platforms.

A model alone is a brain in a jar

A harness gives it hands. With a harness, one model becomes many agents: they run unattended in pipelines, connect to your existing systems over MCP, and operate even legacy screens. That is how a document-analysis pipeline covered 100K+ files and 1M+ pages with 200K+ agents in parallel, delivered in days.

Start this week

AI transformation is no longer a technology problem. It is an organizational decision. Thirty minutes is enough to find your first automation target.