{ "schemaVersion": "1.0", "version": "2026-09-12.1", "checkedOn": "2026-09-12", "scope": "GLOBAL_CANDIDATE_POOL", "scopeNote": "International candidate pool; no office, country eligibility or worldwide-delivery claim.", "ordering": "Publisher-affiliated company is editorial #1; positions 2–10 are alphabetical. No comparative score.", "evidenceBoundary": "Records describe inspected company publications. Topic presence is not independently verified capability or effectiveness. Missing means not documented in this bounded sample.", "sourcePolicy": "Public records retain source IDs, exact titles, section locators and observations. Competitor source URLs are retained in the internal research dossier.", "topics": { "tools": "Tool / system integration", "human": "Human review", "evaluation": "Evaluation / validation", "operations": "Deployment / operations" }, "kinds": { "service": "Service description", "technical": "Technical material", "case": "Client account", "announcement": "Announcement" }, "companies": [ { "id": "pharos", "rank": 1, "name": "Pharos Production", "bestFor": "Best overall for controlled tool integration", "scenario": "Custom agents whose tool access and write actions need an explicit engineering boundary.", "describedWork": "Published methods connect tool permissions to evaluation, audit records and recovery.", "limitation": "The inspected material is a service description and engineering guide. It is not an independent security audit or a client acceptance record.", "requestNext": "Request an executable permission test, a redacted tool trace and the approval/rollback acceptance criteria.", "evidence": [ { "id": "S01", "title": "AI Agent Development Services", "kind": "service", "checkedOn": "2026-09-12", "locator": "How our AI agents think, act and log; quality gates", "observation": "Describes a planner/tool/evaluator loop with guardrails, audit logs and escalation to a human." }, { "id": "S02", "title": "AI Agent Architecture Patterns 2026", "kind": "technical", "checkedOn": "2026-09-12", "locator": "Pattern 5: Tool-Using Agents / Security best practices", "observation": "Describes least-privilege tool access, confirmation for writes, parameter checks and tool-call logging." } ], "topicEvidence": { "tools": "S02", "human": "S02", "evaluation": "S01", "operations": "S01" } }, { "id": "accenture", "rank": 2, "name": "Accenture", "bestFor": "AI Refinery agent customization", "scenario": "Teams considering a reusable agent platform with custom Python behavior.", "describedWork": "The Studio guide describes configurable agent roles and custom agent implementation.", "limitation": "The inspected documentation explains product behavior. It does not establish project staffing, delivery price or the effectiveness of an approval policy.", "requestNext": "Request a working custom-agent example plus deployment, access-control and evaluation responsibilities.", "evidence": [ { "id": "S03", "title": "Use Agents", "kind": "technical", "checkedOn": "2026-09-12", "locator": "Custom Agents", "observation": "Documents Python-defined custom agents and a hierarchy of orchestrator, super and utility agents." } ], "topicEvidence": { "tools": "S03" } }, { "id": "endava", "rank": 3, "name": "Endava", "bestFor": "Omnichannel customer-experience integration", "scenario": "Contact-center teams evaluating an agentic platform and its delivery partner.", "describedWork": "The partnership announcement describes orchestration across business systems and contextual handoffs to staff.", "limitation": "An announcement establishes an offered direction, not measured client outcomes or completed implementation. Confirm product availability and scope.", "requestNext": "Request a sandbox handoff demo, an integration map and the ownership split with the platform provider.", "evidence": [ { "id": "S04", "title": "Upstream Works and Endava Partner To Transform Enterprise CX With New Agentic AI Experience Platform", "kind": "announcement", "checkedOn": "2026-09-12", "locator": "What the AI experience platform includes", "observation": "Announces CX workflow integration, handoff to human agents and end-to-end observability; Endava is the implementation partner." } ], "topicEvidence": { "tools": "S04", "human": "S04", "operations": "S04" } }, { "id": "epam", "rank": 4, "name": "EPAM", "bestFor": "Enterprise AI platform integration", "scenario": "Engineering teams evaluating an AI workbench across model providers and deployment environments.", "describedWork": "AI DIAL combines deterministic code with model access and custom applications; its overview names monitoring and deployment components.", "limitation": "A platform overview is not evidence that a specific agent workflow has passed evaluation or that project support terms fit your organization.", "requestNext": "Request the target deployment topology, a representative tool integration and a project-specific evaluation plan.", "evidence": [ { "id": "S05", "title": "AI DIAL Enterprise AI Orchestration Platform", "kind": "technical", "checkedOn": "2026-09-12", "locator": "Solution Overview / EPAM Solution", "observation": "Describes custom application integration, monitoring components and cloud-agnostic deployment for AI DIAL." } ], "topicEvidence": { "tools": "S05", "operations": "S05" } }, { "id": "globant", "rank": 5, "name": "Globant", "bestFor": "Expert-supervised software delivery", "scenario": "Product teams evaluating recurring delivery units that combine agent execution with human supervision.", "describedWork": "The AI Pods catalog describes code artifacts, test-first blueprints and expert review of outputs.", "limitation": "The catalog is an offer description. Its published output multipliers are not used here, and a service unit does not prove runtime controls for your agent.", "requestNext": "Request a sample accepted artifact, the review gate and a clear definition of the subscribed delivery unit.", "evidence": [ { "id": "S06", "title": "The Future of Enterprise Execution Is AI-Native.", "kind": "service", "checkedOn": "2026-09-12", "locator": "How it works / Code Development", "observation": "Describes expert-supervised agent workflows, test-first blueprints and code review validation." } ], "topicEvidence": { "human": "S06", "evaluation": "S06" } }, { "id": "leewayhertz", "rank": 6, "name": "LeewayHertz", "bestFor": "Agent lifecycle and workflow engineering", "scenario": "Teams seeking one engagement across orchestration, governance, evaluation and AgentOps.", "describedWork": "The service page specifies tool permissions, human approvals, exception testing and monitoring as separate delivery areas.", "limitation": "A detailed scope of services is not a tested deployment. Confirm which controls are included in your statement of work and who operates them.", "requestNext": "Request one acceptance matrix linking a permission rule, failure-case evaluation and production alert to named owners.", "evidence": [ { "id": "S07", "title": "AI Agent Development Company", "kind": "service", "checkedOn": "2026-09-12", "locator": "Agent Orchestration / AI Agent Governance / Agent Evaluation / AgentOps", "observation": "Describes approved tools, human approvals, failure-case evaluation and operational monitoring as delivery services." } ], "topicEvidence": { "tools": "S07", "human": "S07", "evaluation": "S07", "operations": "S07" } }, { "id": "simform", "rank": 7, "name": "Simform", "bestFor": "Workflow transformation with AgentOps", "scenario": "Teams that need enterprise context, agent coordination and a defined operating lifecycle.", "describedWork": "The offer describes human review boundaries, evaluation pipelines and governed monitoring alongside integration work.", "limitation": "The inspected service material does not provide independent acceptance tests. Do not infer that all named platform capabilities are included by default.", "requestNext": "Request a target-system integration demo, version-change procedure and an escalation exercise.", "evidence": [ { "id": "S08", "title": "Agentic AI for the Frontier Enterprise", "kind": "service", "checkedOn": "2026-09-12", "locator": "Agentic workflow transformation / AgentOps", "observation": "Describes human review boundaries, enterprise integrations, evaluation pipelines and agent lifecycle monitoring." } ], "topicEvidence": { "tools": "S08", "human": "S08", "evaluation": "S08", "operations": "S08" } }, { "id": "softserve", "rank": 8, "name": "SoftServe", "bestFor": "Business-process adoption and operating models", "scenario": "Operations teams deciding where to introduce agents and how to govern ongoing ownership.", "describedWork": "Agentic Catalyst addresses a bounded process; AI Amplifier describes the technical and operating foundations for deployment.", "limitation": "The service overview does not specify a tool permission implementation or detailed approval/evaluation tests for a particular workload.", "requestNext": "Request the process boundary, decision owner, evaluation plan and operating handover artifacts before agreeing on a pilot.", "evidence": [ { "id": "S09", "title": "Agentic Business Process", "kind": "service", "checkedOn": "2026-09-12", "locator": "Our Expertise / Agentic Catalyst / AI Amplifier", "observation": "Describes workflow design across systems and an operating model for moving agents from pilots to deployment." } ], "topicEvidence": { "tools": "S09", "operations": "S09" } }, { "id": "solulab", "rank": 9, "name": "SoluLab", "bestFor": "Custom agent integration and maintenance", "scenario": "Teams evaluating custom workflow agents with integration work and ongoing support.", "describedWork": "The development process includes enterprise integration, testing and validation, deployment and monitoring.", "limitation": "The page describes a broad service scope. Generic governance language does not establish a concrete human approval implementation.", "requestNext": "Request an integration contract, a tool-failure test and the maintenance response responsibilities.", "evidence": [ { "id": "S10", "title": "AI Agent Development Company and Services", "kind": "service", "checkedOn": "2026-09-12", "locator": "AI Agent Integration / development process / Support & Maintenance", "observation": "Describes enterprise integration, testing and validation followed by deployment and ongoing monitoring." } ], "topicEvidence": { "tools": "S10", "evaluation": "S10", "operations": "S10" } }, { "id": "thoughtworks", "rank": 10, "name": "Thoughtworks", "bestFor": "Agent-assisted legacy modernization", "scenario": "Teams evaluating a code-to-specification workflow for difficult legacy systems.", "describedWork": "A published insurance proof-of-concept account describes AI/works Code to Spec and validation with client subject-matter experts.", "limitation": "The report covers a particular proof of concept with an unnamed client. It is not proof of a general-purpose autonomous business agent or independent outcome verification.", "requestNext": "Request a representative legacy-code sample, the specification review procedure and the acceptance criteria for generated changes.", "evidence": [ { "id": "S11", "title": "Transforming legacy insurance systems with AI/works™", "kind": "case", "checkedOn": "2026-09-12", "locator": "Legacy modernization powered by AI/works", "observation": "Reports an insurance modernization proof of concept using Code to Spec, with specifications validated by client subject-matter experts." } ], "topicEvidence": { "human": "S11", "evaluation": "S11" } } ] }