Agentic AI Consulting Services You Can Buy by Name
Xyner's agentic AI consulting services are a catalog of fixed-scope offerings — assessment workshops, readiness audits, governance design, PoC scoping and vendor-neutral LLM strategy — each with named deliverables, a defined duration and a price agreed before work starts.
What are agentic AI consulting services?
Agentic AI consulting services are packaged advisory offerings an enterprise can commission individually: workshops that surface and rank use cases, assessments that grade readiness, design work that produces governance models, scoping that turns a candidate use case into a bounded proof of concept, and strategy work that selects language models on neutral criteria. Each service has a defined scope, duration, deliverable set and price — so procurement can buy exactly the help needed, and nothing else.
This page is the catalog. If you want the discipline behind it — how Xyner thinks about strategy, readiness and governance as a whole — that is the agentic AI consulting page. Here, the question is simpler: which service do you book first, and what exactly do you get back?
What makes Xyner's catalog unusual is the platform behind it: feasibility judgments are checked against 250+ live agentic capabilities and 1,000+ real integrations, and every governance design maps to controls the platform actually enforces — so a service's output is implementable, not aspirational.
The catalog at a glance
Five core services plus three supporting offers — book one, or sequence them into a program.
Use-case discovery workshops
Facilitated sessions with process owners that produce a ranked, scored automation pipeline.
Readiness assessment
A graded audit of data, integrations, security and operating model against your shortlist.
PoC scoping
One candidate use case turned into a bounded, costed proof-of-concept definition ready to execute.
LLM strategy
Vendor-neutral model selection and routing policy across 12+ families, mapped to data sensitivity.
Governance design
Approval models, action budgets, RBAC schemes and audit requirements, co-authored with your risk team.
Architecture review
Supporting offer: your target platform and deployment design examined against residency, cost and audit needs.
Roadmap & business case
Supporting offer: sequenced initiatives with costs, dependencies and success metrics for funding decisions.
Executive briefings
Supporting offer: working sessions that bring leadership and risk to a shared, realistic view of agentic AI.
Each service, specified
Format, duration and what lands on your desk at the end.
Use-case discovery workshops
Facilitated sessions with process owners and operations leads. Candidate workflows are captured, then scored on volume, rule clarity, system reach and risk. Deliverable: a ranked use-case pipeline with scoring rationale and recommended first candidates — the document every later service builds on.
Readiness assessment
A structured audit of the dimensions that decide success: data availability and quality, integration access across your ERP, CRM and data platforms, security and residency constraints, and operating-model maturity. Deliverable: a graded readiness report with a remediation plan per gap.
PoC scoping
One shortlisted use case turned into an executable proof-of-concept definition: bounded data, bounded actions, named systems, governance requirements, success criteria and schedule. Deliverable: a PoC charter your risk team can approve and a delivery team can execute in 6–12 weeks.
Vendor-neutral LLM strategy
Model families — OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral and private models — evaluated against your task types, data classes, latency and cost constraints. Deliverable: a routing policy stating which models handle which work, and the review cadence for revisiting it.
Governance design
Working sessions with risk, compliance and security that produce enforceable control designs: approval thresholds, action budgets, RBAC schemes, audit and retention requirements. Deliverable: a governance model mapped control-by-control to platform enforcement.
Sequenced as a program
Booked together, the services run workshops → assessment → governance and LLM strategy in parallel → PoC scoping, typically in a handful of weeks. Every artifact feeds the next service, and the final output is a PoC ready to fund.
Which service fits your situation?
Starting point → the service to book → what changes afterwards.
"We don't know where to start"
No agreed use cases → book discovery workshops → a ranked pipeline replaces opinion with scoring, and the first candidates are named.
"We have ideas, but are we ready?"
Shortlist exists, confidence doesn't → book the readiness assessment → each gap is graded with a remediation step, so the first build starts on solid ground.
"We need to prove it to leadership"
Budget needs evidence → book PoC scoping → a bounded, costed charter gives finance a number and risk a boundary, and the PoC itself lands in 6–12 weeks.
"Which AI models should we bet on?"
Model-vendor pressure from every direction → book the LLM strategy service → a routing policy across 12+ families ends the single-vendor debate with criteria, not politics.
"Risk blocks everything AI"
Governance is the bottleneck → book governance design → controls co-authored with your risk team turn their veto into a signed framework.
"Our architects disagree"
Deployment and platform debates stall progress → book the architecture review → residency, cost and audit requirements settle the design on evidence.
"We need the full picture"
Board wants a program, not experiments → book the roadmap and business case → sequenced initiatives with costs and metrics, ready for a funding decision.
"Leadership isn't aligned"
Every executive has a different definition of agentic AI → book an executive briefing → one shared, realistic baseline before money moves.
"We did pilots; they stalled"
Pilots never reached production → readiness assessment plus governance design finds and fixes the real blockers → the next attempt has a path to production.
How the services connect
Individually bookable, deliberately composable — each artifact is the next one's input.
1. Executive briefing
Optional opener: leadership and risk aligned on what agentic AI is and is not.
2. Discovery workshops
The ranked pipeline is produced — the reference document for everything after.
3. Readiness assessment
The shortlist is audited; remediation items enter your IT backlog early.
4. LLM strategy
Routing policy set across 12+ families — often run in parallel with governance.
5. Governance design
Controls designed with risk while engineers remediate readiness gaps.
6. PoC scoping → execution
The charter is written; if you proceed, delivery takes it to production in 6–12 weeks.
Buying advisory: the options on your desk
How the catalog compares with the other ways enterprises buy this help.
| What you buy | Freelance specialists | Big-firm advisory | Xyner service catalog |
|---|---|---|---|
| Scope definition | Negotiated per person | Proposal cycles, broad phases | Named services with fixed deliverables |
| Price model | Day rates, open-ended | Program budgets | Per-service price agreed up front |
| Feasibility grounding | Individual experience | Benchmarks and surveys | Checked against 250+ live platform capabilities |
| Integration judgment | Varies by hire | Assumed until implementation | Verified against 1,000+ real connectors |
| LLM neutrality | Personal preference | Alliance-influenced | Routing across 12+ families, criteria published to you |
| Governance output | Advice, rarely designs | Framework documents | Controls mapped to platform enforcement |
| Path to proof | Ends with the contract | Separate implementation arm | PoC charter executable in 6–12 weeks by the same firm |
| Artifact reuse | Depends on documentation | Often re-worked by implementers | Every artifact feeds delivery directly |
What the assessments actually examine
Readiness and architecture services inspect your estate category by category — grounded in what 1,000+ connectors make reachable.
ERP & finance core
SAP and Oracle access paths, interface quality and the write permissions agents would need.
CRM & service platforms
Salesforce and ServiceNow case models, SLA structures and automation hooks.
HR & identity
Workday and HRMS structures, joiner-mover-leaver flows and credentialing paths.
Data estate
Databases, warehouses and document repositories — quality, lineage and access control.
Work-arrival channels
Mailboxes, queues and chat — where cases enter and how cleanly they can be captured.
Custom & legacy systems
REST/SOAP reachability of in-house systems — the integration effort named before it bites.
Postures the strategy work designs for
Architecture and LLM-strategy services account for where the platform — and the models — will physically run.
SaaS & dedicated VPC
Default recommendation where policy allows: fastest schedules, 99.95% SLA, full model-routing flexibility.
Managed control, local data
Strategy work frequently lands here for regulated estates — execution in your boundary, upgrades managed.
On-prem & air-gapped
Where data cannot leave, the LLM strategy pairs the posture with private, locally hosted models — designed as one decision, not two.
Controls the governance service designs
Every control in the deliverable corresponds to something the platform enforces — which is why these designs clear internal review.
RBAC schemes
Permission models for humans, agents and tools — drawn as roles, not prose.
Approval matrices
Which actions auto-complete and which wait for a named human, by value and reversibility.
Action-budget policies
Caps per case, per day and per system — exposure limits as configuration values.
Audit & retention rules
What is logged, who may replay it, and how long evidence is kept per regulation.
Model-access rules
Data-class-to-model mapping across 12+ families, private models for the sensitive end.
Residency boundaries
Jurisdiction-by-jurisdiction rules for where data and execution may live.
Compliance mapping
Controls referenced to the platform's SOC 2 Type II and ISO 27001 certifications, GDPR compliance and HIPAA alignment.
Evaluation standards
The testing bar every agent must clear before change ships — written as standing policy.
Booking a service: the process
From inquiry to delivered artifact in ten predictable steps.
1. Inquiry call
You describe the situation; we recommend the service — or tell you which you don't need yet.
2. Service specification
Scope, participants, schedule, deliverables and price in writing.
3. Participant prep
Pre-reads and data requests sent so sessions start informed, not cold.
4. Working sessions
Workshops and interviews run on-site or remote, in your time zone, from the nearest of six offices.
5. Estate inspection
For assessments: systems, data and security posture examined with your teams.
6. Draft deliverable
Findings and designs drafted and walked through with your stakeholders.
7. Challenge round
Your experts push back; the deliverable is corrected against reality, not defended.
8. Final artifact
The signed deliverable — pipeline, report, policy, charter or design — lands with you.
9. Decision support
We present to your steering group or board if useful — your decision, our evidence.
10. Next-step option
Continue to another service, proceed to delivery, or stop — every artifact keeps its value either way.
A catalog, not a land-and-expand
Buy one service. Judge us on its artifact.
Every service in the catalog stands alone with its own deliverable — commissioned from New York (Global HQ), Chennai, Dubai, Riyadh, Singapore or Manama. Start with the one your situation needs at sales@xyner.ai.
Frequently asked questions — consulting services
Engagement mechanics, pricing models and durations, service by service.
What services are in the catalog?
Five core services — use-case discovery workshops, readiness assessment, PoC scoping, vendor-neutral LLM strategy and governance design — plus three supporting offers: architecture review, roadmap and business case, and executive briefings. Each is individually bookable with its own deliverable.
How are the services priced?
Each service carries a fixed price agreed in the written specification before work starts, based on organizational scope and participant count — not day rates that drift. Sequenced programs are priced per service, so you can stop after any artifact.
How long does each service take?
Workshops typically run across one to two weeks including preparation and the written pipeline; readiness assessments and governance design take two to four weeks depending on estate size; PoC scoping and LLM strategy usually land within two weeks. A full sequenced program completes in a quarter or less.
Can we book just one service?
Yes — that is the point of a catalog. Many customers start with a single readiness assessment or governance design, judge the artifact, and only then decide whether to continue. Nothing obliges you to buy the sequence.
What makes the LLM strategy vendor-neutral?
The evaluation criteria are shared with you openly, and the platform behind the advice routes across 12+ model families — OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral and private models — so no single provider's success is built into the recommendation. The deliverable is a routing policy, not a brand endorsement.
What does PoC scoping deliver, exactly?
A proof-of-concept charter: the bounded workflow, the data and actions in scope, the systems to integrate, governance requirements, success criteria, schedule and cost. It is written so your risk team can approve it and a delivery team can execute it in 6–12 weeks without reinterpretation.
Who participates from our side?
Process owners and operations leads for workshops; IT, data and security stakeholders for assessments; risk and compliance for governance design; architects for the architecture review. The service specification lists expected participants and hours so you can plan around day jobs.
Are the deliverables usable if we don't choose Xyner's platform?
Yes. Pipelines, readiness reports, governance models and LLM strategies are written to be platform-agnostic; the platform mapping is included as evidence that the designs are enforceable, not as a dependency. The artifacts remain yours regardless of the implementation route.
How is this different from Xyner's agentic AI consulting page?
That page describes the advisory discipline — how strategy, readiness, architecture and governance fit together. This catalog is the commercial form: discrete services with fixed scope, named deliverables and individual prices you can procure one at a time.
Can services run remotely?
Yes. All services run on-site, remote or mixed, delivered from the nearest of six offices — New York, Chennai, Dubai, Riyadh, Singapore and Manama — so sessions sit inside your working day.
What happens after the final artifact?
Your choice: book another service, proceed to a PoC or implementation with Xyner, take the artifacts to another route, or stop. If you continue to delivery, every consulting artifact feeds it directly — nothing is re-done or re-billed.
How quickly can a service start?
After the specification is signed, scheduling depends mainly on your participants' availability; preparation materials go out immediately. Most services begin within weeks, not months.
Related pages
The discipline, the delivery and the platform the catalog connects to.
Book the service your program needs first
A workshop, an assessment, a governance design, a PoC charter or an LLM strategy — fixed scope, named deliverable, your decision at every step.
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