Sphere Partners
300+ organizations advised across 28 countries · Talk to an agentic AI specialist
Agentic AI Development · Enterprise-Grade

Agentic AI that ships with an approval gate, not just a demo.

Sphere is one of the agentic AI companies enterprise teams call when a pilot needs to become a production system — an AI agent development company with human-in-the-loop checkpoints, full audit trails, and a team that starts in 4–7 days. 300+ organizations across 28 countries, senior AI engineers only.

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It’s been a really positive experience working with Sphere. The resources are skilled, the communication is always responsive, and the deliverables are consistently high quality.

Ben Crawford, Senior Product Manager, Enova Financial

Talk to an Agentic AI Specialist

Your use case details are 100% protected by NDA · a Sphere AI engineer responds within 1 business day.

What to Screen Vendors On

Every Agentic AI Company Demos Well. Few Can Show You an Audit Trail.

A slick agent demo tells you nothing about what happens when it touches a real system, a real customer, or a real dollar. Among agentic AI companies and AI agent development companies alike, here’s what actually separates the ones that reach production from the ones that stall at proof-of-concept.

The Pattern Behind Most Stalled Pilots

A large certified partner roster and thousands of “AI specialists” listed on the site — but the AI agent company team actually assigned to your build is generalist, not agentic-AI-specific.

A working prototype in week one, then no clear path to giving the agent write-access to a live system your compliance team will actually approve.

A boutique AI agent development agency with real talent but no track record deploying agents into regulated, enterprise-scale environments — fine for a proof-of-concept, untested at your scale.

How Sphere Builds Agentic AI

Every agentic AI engagement includes approval gates by default — the agent proposes, a human confirms before anything touches production data or a live system.

Full audit logging on every action an agent takes, so your risk and compliance team has a record before an auditor asks for one.

21+ years deploying software into regulated, high-stakes enterprise environments — agentic AI built by engineers who already know how your compliance review works.

How an Agent Actually Thinks

One Agent. Six Capabilities Working Together.

A production agent isn’t a single model call — it’s a set of coordinated capabilities wired around your systems and your risk tolerance. This is the map Sphere builds against for every engagement.

AgenticCorePerceptionReads data,tickets, signalsReasoningPlans steps,applies policyTool UseCalls your CRM,ERP, internal APIsMemoryCase history,prior decisionsGuardrailsApproval gates,scoped accessActionUpdates records,triggers workflows
The Decision Flow

From Signal to Action, With a Human at the Right Checkpoint

This is the same flow every Sphere agent runs, whether it’s triaging a support case or matching an invoice — the steps don’t change, only what’s inside each one.

  1. Signal

    A ticket, invoice, record change, or system event triggers the workflow.

  2. Reason

    The agent classifies the case and plans steps against your business rules.

  3. Act on Tools

    It calls the CRM, ERP, or internal API needed to gather or prepare data.

  4. Human Gate

    High-impact steps stop here for approval — the agent proposes, your team confirms.

  5. Execute

    The approved action runs — a record updates, a workflow triggers.

  6. Log It

    Every decision and action lands in an audit trail your compliance team can query.

See This Flow Running Against Your Own Workflow

Bring one high-friction workflow to a 30-minute fit call — leave with a feasibility read and where the approval gates should sit.

Book a Fit Call
The Proof

Organizations Around the World Trust Us

For more than 21 years, Sphere has helped organizations build, modernize, and scale technology platforms across AI, data, cloud, and software engineering.

ideel
JFrog
Clearcover
91 Seconds
Enova
CreditNinja
Navy Pier
Gett
Experify
ideel
JFrog
Clearcover
91 Seconds
Enova
CreditNinja
Navy Pier
Gett
Experify
0+
Client Organizations
0
Countries Served
NPS 0
Client Satisfaction
0%
On-Time Delivery

Hear From Teams Sphere Has Delivered For

Ben Crawford

Senior Product Manager, Enova Financial

Sheldon Gilbert

CEO, Proclivity Media

John Krauze

VP of Product, Nextcapital

Chirag Pancholi

CEO, WiseMuv

Steven Maloney

CEO, Pianoamigo.com

Ntiedo Etuck

CEO, Your Guru

What an Agentic AI Company Should Actually Deliver

Agents That Do Real Work, With Guardrails Built In

Every agentic AI development service Sphere delivers is scoped around the same question: what does this agent need to touch, and who signs off before it does?

Human-in-the-Loop by Design

Approval gates on every action that touches production data, a customer, or a financial transaction — agents propose, your team confirms.

Full Audit Trail

Every decision an agent makes and every action it takes is logged — evidence your risk and compliance team can review, not a black box.

Built on Your Systems

Agent integration with the CRM, ERP, and internal tools you already run — agents that act inside your stack, not a separate walled-off tool.

Monitoring That Doesn’t Stop at Launch

Agents are evaluated and monitored in production, not just at demo time — drift and failure modes get caught before they compound.

Agentic AI Development Services, Scoped to Where Your Team Actually Loses Time

From a single high-friction workflow to a fleet of coordinated agents — custom AI agent development services from one senior team, from kickoff to production.

From Use Case to Production Agent, Fast

Our agentic AI development team starts within 4–7 days of a scoping call.

  1. Workflow & Risk Mapping

    We identify the highest-friction workflow and map exactly where a human approval gate needs to sit.

  2. Agent Design & Build

    Senior AI engineers build the agent against your actual systems, not a sandboxed demo environment.

  3. Governance & Testing

    Audit logging, approval workflows, and reliability testing before anything touches production.

  4. Launch & Monitor

    Production deployment with ongoing evaluation, so drift and edge cases get caught, not discovered.

Featured Awards

4.9/5 on Clutch. 21+ years of enterprise engineering.

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Have an Agent Prototype Stuck in Demo Purgatory?

Whether it’s a proof-of-concept that impressed a room but never got permission to touch production, or a net-new use case you haven’t scoped yet — Sphere builds the governance layer your compliance team will actually sign off on.

Talk to an Agentic AI Specialist
Industries Sphere Serves

Built for Regulated and High-Stakes Industries

From agentic AI in financial services to manufacturing operations, the approval-gate and audit-trail pattern stays the same — only the workflow changes.

Agentic AI Development, Answered Directly

An agentic AI development company builds systems that take multi-step actions toward a goal — not just answer questions. That means agent orchestration, tool use, memory, and critically, governance: approval gates, audit trails, and monitoring for when the agent is wrong. Sphere’s agentic AI engineers specialize specifically in this production layer, not just prompting a model.

Look past the demo. A top AI agent development company for enterprise work can show you an approval-gate workflow, an audit log, and a reference for an agent they’ve run in a regulated environment — not just a slick prototype. Ask any custom agentic AI development services provider, and any of the AI agent companies you’re evaluating, for evidence of production deployments, not proof-of-concepts, before you sign.

Every Sphere agentic AI build includes configurable approval gates: the agent proposes an action, and a human confirms before anything touches production data, a customer record, or a financial transaction. You define which actions require sign-off and which the agent can take autonomously.

Yes — this is one of the most common starting points we see. A prototype that worked well in a demo often lacks the governance, audit logging, and integration depth compliance teams require before granting production access. We start with an honest assessment of what exists, then build the missing layer rather than rebuilding from scratch.

Our AI agent integration services connect to the CRM, ERP, and internal tools you already run — including Salesforce, NetSuite, and custom internal systems. Agents act inside your existing stack rather than requiring a parallel tool your team has to maintain separately.

Cost depends on the number of workflows, integration complexity, and governance requirements — a single-workflow agent with light integration is a very different scope than a multi-agent system wired into several systems of record. We scope and quote after an initial call, not before we understand your actual use case.

Our agentic AI development team typically starts within 4–7 days of a scoping call, once we’ve aligned on the target workflow, systems involved, and approval requirements.

Ready to Move an Agent From Demo to Production?

Our custom AI agent development services start within 4–7 days. Senior AI engineers, human-in-the-loop by default.

No RFP required · fixed-scope or dedicated pod · discovery call within days.

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