Arkeo AI is an agentic platform that turns SaaS sales workflows into proactive, automated motion. Its product is built on AI agents — Ideal Customer Profile, Deal Notes, and Pipeline Analysis — that surface the right next move for revenue teams without a human in the middle.
When Arkeo's CTO and backend engineer departed within a short window, those three agents went dark, the frontend started failing in onboarding, and the people who understood how any of it worked were gone. There was almost no documentation to work from.
Arkeo's choice was narrow: find a partner who could walk into an unfamiliar, undocumented codebase and bring it back online — fast — or watch customer trust erode while the platform sat dark.
A rescue is rarely a single problem. Arkeo arrived with four — stacked, simultaneous, and already on fire. The order in which we tackled them defined whether the platform came back at all.
The CTO and the backend engineer who held most of the architectural context departed within a short window. There was no handover, no architecture document, no on-call runbook. The knowledge walked out the door, and the platform was already starting to misbehave.
Team DepartureAll three core agents — ICP, Deal Notes, Pipeline Analysis — were down in production. Backend idempotency and key-handling regressions on the agent side, plus a scheduler crash, meant customers who tried to onboard saw an empty product.
Broken PlatformThere was no architecture doc, no setup guide, no environment reference, no deployment runbook. Every fix had to begin with reverse-engineering the codebase from scratch — and the platform couldn't wait the months that would normally take.
Undocumented CodebaseCustomers were already in onboarding when the agents went down. Every additional day the platform stayed broken was a day of trust eroding for a team that had just lost its technical leadership. The window to stabilize without losing accounts was small.
Operational StakesTBD — founder quote requested. The strongest version speaks to the rescue itself: platform down, team gone, foundation rebuilt in three months.
Arkeo wasn't hiring contractors. It was choosing whoever it trusted with the platform on the worst week of the company's life. Three reasons that choice landed with us.
Arkeo didn't need staff augmentation. It needed someone who could absorb an unfamiliar, undocumented system and start making decisions on its behalf inside the first week. Streaver had taken over inherited systems before, on similar timelines, without a long ramp.
The agents weren't broken in a generic way — they were broken in agent-specific ways: idempotency, key-handling, scheduler failures, retry semantics. Streaver's engineers had shipped agentic systems before and could diagnose those failure modes without a three-week learning curve.
The fix wasn't only to restore the agents. It was to make Arkeo independent of the very situation that triggered the engagement — so the next departure wouldn't break the platform again. Three months: stabilize, document, hand back the keys.
The spine of the engagement was simple to state and hard to do: get each of the three core agents back online, with the underlying failure repaired at the source — not patched downstream.
From dark to operational, in twelve weeks
Architecture diagram of the agent system, before vs. after the rescue — ICP, Deal Notes, and Pipeline plotted against the scheduler, idempotency layer, and key-handling boundary that took them down. Hand-drawn-feeling vector preferred.
It was tempting to look at the broken platform and start redesigning it. We resisted that. The first job was to get the three agents back online with as few changes as possible, then earn the right to refactor. Rescue first, opinions later.
Half of the engagement was writing the docs that should have existed. Setup guides, agent architecture, scheduler behavior, environment references, deployment steps, on-call runbooks. We wrote them as we worked, not after — so each fix landed with its own paper trail.
Restoring the agents wasn't enough — they had to survive without us. We hardened the scheduler, added throttling and error recovery on the agent loops, improved logging, and tightened the deploy path so a single bad release couldn't take the platform down again.
We don't have a founder quote on the page, and it's the missing piece. A first-person line from Arkeo's leadership on what the rescue felt like — and what stabilized — would carry more weight than any restored-agent count. We've asked. It's held open here until they sign off.
There was no uptime dashboard before we arrived. Saying 'uptime went from X to Y' would be a fabrication. Before/after onboarding completion is qualitative today — agents worked again, customers could onboard again — and we're honest with Arkeo about which metrics still need a baseline before we publish them.
The three-month timeline came out of the rescue sequence, not a logged engagement plan. The milestones below (Week 0, 2, 4, 8, 12, 16) are reconstructed for narrative clarity — directionally accurate, not commit-log precise. We'd rather flag that than dress it up.
Each outcome below is paired with the baseline we inherited. Where no baseline existed before the engagement, we say so — rather than invent a number for the after.
ICP, Deal Notes, and Pipeline Analysis agents diagnosed, repaired, and back in production — including the backend idempotency, key-handling, and scheduler issues that were the root cause.
Frontend onboarding bugs resolved, scheduler hardened, retry semantics fixed. The platform now ships changes without one bad release taking everything down.
Setup, architecture, scheduler, environment, deployment, and on-call docs written as the rescue happened. The platform is no longer one departure away from disaster.
Hardened the agent loops and the deploy path so a single regression can no longer dark the platform. Independence-by-design, not by hope.
Customers in the middle of onboarding when the agents went dark were unblocked by Week 4. Trust held through the rescue window — no accounts lost to the team-departure event.
By handoff, Arkeo's CEO had a stable platform, the documentation to onboard new engineers against, and the room to hire deliberately — not in panic.
A rescue is a continuity problem first and an engineering problem second. The people below walked into a codebase they had never seen and started making decisions in the first week — by handoff, they had written down enough that the next engineer wouldn't have to.
Owned the rescue plan, prioritization, and weekly cadence with Arkeo's CEO. Wrote the architecture overview that didn't previously exist.
Diagnosed and repaired the agent-side issues: idempotency, key-handling, and the scheduler crash that took the Pipeline Agent down.
Resolved the frontend display errors, page-reload bugs, and the issues blocking onboarding. Vue.js surfaces stabilized end-to-end.
Owned agent-level reliability: retry semantics, throttling, recovery, and the observability layer that made the rescue measurable.
Daily standups during the rescue window. Weekly review with Arkeo's CEO. On-call held by Streaver through handoff. Cadence relaxed once stability was confirmed.
Shared Slack channel, joint repo access from day one, and every document landed in Arkeo's workspace so nothing depended on us after handoff.
Fixed-fee, milestone-based. Three checkpoints: agents restored, documentation complete, infrastructure hardened. Renewal optional — the engagement was scoped to end.
Full IP transfer at handoff. Every credential, every secret, every doc lives with Arkeo. We exit clean by design — that's what makes us a rescue partner instead of a custodian.
Arkeo's stack at handover was multi-language and multi-runtime by necessity — agent code, customer-facing surfaces, and the data plane each have different needs. We didn't consolidate it. We documented it.
The rescue is finished. The interesting work — agent expansion, frontend modernization, managed scheduling — is what the rescue unlocked. Three directions Arkeo can now move in without re-running this engagement.
Arkeo's product roadmap calls for scaling the agent surface from three to twenty-plus. The hardened scheduler, retry semantics, and documentation make that expansion possible without re-running this rescue. The work we did was the foundation for that scale, not the destination.
The Vue.js frontend is a candidate for a Next.js + Vercel migration once the agent expansion settles. Faster shipping, edge rendering, and a hiring pool that matches the rest of the stack. Modernization where it earns its keep, not for its own sake.
The hand-rolled scheduler that broke the Pipeline Agent is a candidate for replacement with a managed scheduler like Trigger.dev. Less code to own, less surface to break, and a clear separation between agent logic and orchestration.
Streaver walks into unfamiliar, undocumented codebases after team departures and stabilizes them — then writes down what should have been written down the first time. Three months, fixed-fee, clean handoff.
