MagicTeams.ai

Enterprise capabilities brief

A small, tight-knit group of AI experts. End-to-end AI for enterprise teams, from a company-wide AI audit to agents running in production, with the evals and governance that keep every agent visible, owned, and safe to switch off.

Contact
phanindra.reddy@magicteams.ai
Book a call
cal.com/champ1288/aios
Web
phanindra.magicteams.ai
Entity
Saphaare Labs Private Limited

What we do, end to end

  1. Company-wide AI auditEvery agent and AI tool you run, including ones staff and vendors added, with owners, risk tiers, cost, and what to fix first.
  2. Use-case selectionThe few workflows where an agent moves a business number, each with a baseline your finance team signs off.
  3. Build and integrateAgents for customer service, operations, and back office, wired into the systems you already run.
  4. Evals and governanceTests from your own failures, lifecycle gates, one identity per agent, cost per outcome, and a tested kill switch.
  5. Run and hand overPilots next to control sites, rollout in waves, and handover to your team with runbooks and an exit plan.

Delivered so far

  • Logistics. A unified inbox and opportunity engine in production at a 33-branch logistics company: 57 mailboxes feed one pipeline from enquiry to quotation to truck to trip.
  • Voice. Speech-to-speech phone agents on our own platform, with telephony, cloned voices, and interruption handling, answering live business calls in under 400 ms.
  • Manufacturing. A fixed-fee pilot for a Nevada solar recycler: a production run log with mass balancing, certificate issuance, and operator sign-in.
  • Go-to-market. At AcquisitionX (founder is part-time CTO), a pipeline from LinkedIn engagement to qualified leads with approval-gated outreach.

Client names are withheld where the work is private; walkthroughs available on a call.

Open source we publish

  • Open Agent Lifecycle. Agent record, 45 gate controls, crosswalk to NIST AI RMF, ISO/IEC 42001, OWASP, EU AI Act. github.com/everyai-com/open-agent-lifecycle
  • Voice Order Evals. 34 caller scenarios; deterministic scoring of tickets, 19 policy checks, p95 latency. github.com/everyai-com/voice-order-evals
  • Flare and Flare Forge. Agent-native CI and multi-agent coordination on your own Cloudflare. github.com/everyai-com/flare-actions
  • Agent Ready, agentprofile. Governed MCP, REST, and CLI surfaces; one identity per agent. github.com/everyai-com/agent-ready

How an engagement runs

1. Company-wide AI auditFixed fee, 4 to 6 weeks, quoted after a 30-minute scoping call. Inventory, risk tiers, visibility architecture, and a costed 90-day plan.
2. Pilot2 to 3 agents live in a few sites next to matched control sites, with a go, iterate, or stop decision on a date agreed up front.
3. Scale and hand overRollout in waves, handover to your team, and hypercare until they run it without us.

A sample audit readout (fictional company) is at phanindra.magicteams.ai/sample-readout.

Terms we work under

You own it
Agents, eval suites, dashboards, registry records, and runbooks are yours. Your engineers pair with ours from week one; the exit plan and handover date are in the statement of work.
Inside your environment
Your identity provider, cloud, and data warehouse. We hold none of your data and never train models on it.
Security
We do not hold a SOC 2 report today. We complete your security questionnaire before any access is granted.
Voice data path
For each voice deployment we disclose, in writing, the telephony, speech, and model providers in the call path and where audio and transcripts are stored, and for how long.
Independence
During an audit we don't recommend, resell, or benefit from our own products or any vendor, and we disclose vendor relationships in writing.
Franchise and multi-site
Franchisee-owned tools are inventoried only with consent; franchisees see the same numbers headquarters sees and can override per site.
Honest numbers
A finance-approved baseline before build, evals from your own failures, pass^k reporting, and every human takeover counted.
US hours
A daily overlap with US business hours and a named on-call engineer during US peak hours for every live agent.

Team and founder

Founder-led, with a two-person engineering core. The people on your engagement and their time share are named in writing before it starts. Phanindra Reddy, founder, has five years building production software, from ML pipelines at Accenture to founder-led voice and agent platforms.

  • MagicTeams.aiFounder and AI Engineer2024 to now
  • AcquisitionXCTO and Partner, part-time2025 to now
  • Every AIFounder; grew into MagicTeams.ai2023 to now
  • AccentureData engineering and ML2021 to 2022
  • NIT SilcharB.Tech, Electrical Engineering2017 to 2021

Stack

TypeScript, Python, React, Electron. Cloudflare Workers, D1, R2, Durable Objects, Workers AI; Azure; Google Cloud. LLM orchestration, tool calling, MCP, RAG, evals, speech-to-speech, telephony, OpenTelemetry, OAuth.

Startup programs

Member of NVIDIA Inception, AWS for Startups, Claude for Startups, Microsoft for Startups, and Cloudflare for Startups. These provide credits and technical support; they are not endorsements or audits.