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AI Agent Management

Find every AI agent in your business, run it safely, and prove it is under controll

AI agent management expertise that keeps you in control

Your teams are deploying AI agents faster than anyone can track them. One arrived with a marketing tool. One was built by a developer. One came free inside a vendor's upgrade. Each made sense on its own — together they are an operation nobody owns. We have spent 15+ years running operations for e-commerce businesses. We now do the same for the AI agents running inside them, whatever platform they run on.

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Agent discovery & inventory

Find every agent across platforms, clouds, tools and teams. Build one live inventory everyone agrees on.

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Lifecycle control & gating

No agent goes live without a named owner, a value metric and a review date. Sprawl stops at the door.

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Runtime safety & response

Live monitoring, adversarial testing, incident response and a kill switch that has been tested, not assumed.

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Cost attribution & value proof

Know what each agent costs, which unit pays for it, and whether it is delivering what it promised.

What we bring to an agent estate

Built before we sold it — a structured model of what actually goes wrong when a business runs AI agents at scale.

  • A problem model with 43 named failure modes across ten domains and four layers — control, safety, cost and accountability
  • A scored diagnostic that rates all ten domains from 1 to 5, weighted the way you weight them
  • An agent inventory schema of nine linked record sets — identity, tools, data, components, evaluations, incidents, cost and agent-to-agent chains
  • Fourteen processes and 58 defined tasks, with twelve runbooks, so the work is designed before we arrive
  • Control mapping against ISO/IEC 42001 and the NIST AI Risk Management Framework, with every gap named rather than hidden

The result is an organisation that can answer, in minutes, questions that used to take a project.

Assess. Operate. Prove.

Three stages, one inventory. It holds everything together — we create it, we keep it accurate, and we report from it.

Stage 1

Assess

A fixed-scope Agent Readiness Audit. We find every agent, score ten domains, and give you a radar, an inventory and a prioritised plan. Four to six weeks. No lock-in — the work product is yours whatever you decide next.

Stage 2

Operate

We stand up whatever the audit found missing, then run it. Register and gate new agents. Watch the live ones. Account for the spend.

Stage 3

Evidence

We build and maintain the proof that your agents are under control — and hand it to you. You sign it, not us.

Our offerings

Eight services across the three stages. Take what the audit says you need, in the order it says you need it.

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Agent Readiness Audit

A fixed-scope diagnostic scoring ten domains, with an inventory, a radar and a prioritised plan.

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Agent Discovery & Inventory

Continuous discovery across platforms, billing, identity systems and code, with confidence marked on every record.

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Control Plane Implementation

Stand up the platform, the gate, the kill switch and the cost controls — on your stack, platform-neutral.

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Agent Identity & Access

Issue, scope, rotate and revoke agent credentials. Find and fix over-permissioned agents.

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Runtime Monitoring & Incident Response

Live behaviour monitoring, drift detection, triage and containment. Tiered from business hours to 24×7.

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Adversarial Testing

Red-teaming against the OWASP Top 10 for Agentic Applications — prompt injection, tool misuse, poisoned retrieval.

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Agent FinOps

Metering, chargeback by business unit, spend-anomaly response, and value reporting against the agreed metric.

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Compliance Evidence

A maintained evidence trail mapped to ISO/IEC 42001 and NIST AI RMF, so audit prep is retrieval, not reconstruction.

Why choose iksula

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We operate, not just advise

Most firms will write you a policy. We run the estate, staff the seat, and are on call when an agent misbehaves.

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Platform-neutral

We are not defending a product and we do not grade our own tooling. We work with what fits you.

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Framework-led

Ten domains, 43 failure modes, 58 tasks, twelve runbooks — built before the offer existed, not after it.

We never mark our own homework icon

We never mark our own homework

We produce the evidence. You or your auditor sign it. That boundary is structural, not a promise.

Industries we serve

It matters most where agents touch money, customers, or decisions someone is accountable for.

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Retailers & Brands

Agents across merchandising, pricing, content and service — usually spread over several platforms and teams.

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BFSI

Consequential decisions under supervision, where model risk and AI governance already have named owners.

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Healthcare

Regulated data and clinical adjacency, where evidence of control is required rather than optional.

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Manufacturers

Agents in supply chain, planning and quality, often reaching into operational systems.

We produce the evidence. You sign it.

A firm that both runs your AI agents and certifies they are safe is marking its own homework. We think nobody should accept that — including from us.

So the boundary is structural, not a promise. You chair the governance forum. You or your auditor sign the compliance pack. We hand over raw findings untouched, including the ones that reflect badly on work we did ourselves.

How we do this

Not a framework on a slide. This is the actual work — what happens in the first six weeks, what happens every week after that, and what happens when something goes wrong at two in the morning.

The audit, week by week

Scope
We agree the ten domains, how you want them weighted, and the access we need. Fixed scope, agreed before anything starts.
Discover
We find agents across platforms, clouds, billing, identity systems, code repositories and integration tools — then talk to the teams who built them. Billing and identity are usually the most revealing: an agent can escape a register, but not a bill or a credential.
Assess
We score all ten domains against evidence rather than opinion, and mark how confident each finding is.
Report
Inventory, scores, radar, and a plan in dependency order. Visibility first, always — you cannot govern what you cannot list.
Decide
You choose: fix it yourself, or have us stand it up and run it. The work product is yours either way.

The operating rhythm, once we are running it

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Every day

Monitoring across the live estate. Alerts triaged and severity-rated. Incidents opened, contained, closed.

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Every week

New agents through the go-live gate. Access and change reviews. The inventory reconciled against what is actually running.

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Every month

Cost allocated to business units. Value reported against the metric agreed at the gate. Postmortem actions tracked to closure. Service review with you.

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Every quarter

Adversarial testing. Memory wipe-and-rebuild drills. Owners and access recertified. Runbooks revised from what we learned.

What happens when something goes wrong

Three of the situations we have runbooks for. There are twelve.

A shadow agent turns up

Found in a scan, registered by nobody

What we do: triage within a day, trace who built it and why, then either fast-track it through the gate or sandbox it until it can pass. It leaves with an owner, a value metric and a review date — and appears on the next cost report.

Nobody gets punished for having built it. That is deliberate — the alternative is that the next one gets hidden.

An agent misbehaves

Drift detection fires on live behaviour

What we do: triage severity, and on triggers agreed with you in advance we cut the agent off without waiting for a meeting — two independent ways, control plane and credentials. Then forensics. A common cause is a poisoned document in a retrieval source: we clean the source, and add the case to the evaluation suite so it cannot recur quietly.

Containment in minutes, not a morning. And the estate gets harder to fool each time.

The bill spikes

A cost anomaly on a single agent

What we do: validated within one business day — a recursion loop, an agent spawning agents, or genuine growth? If it is a fault, the cap tightens and the agent is suspended while the loop guard is fixed. The business unit that owns it sees it flagged in the next chargeback pack.

You hear it from us, not from the invoice.

Start with the picture, not the contract.

Four to six weeks to a decision-grade view of every AI agent you are running.

Book an Agent Readiness Audit

AI operations talent, when you need the people

Some clients want the capability in-house. We staff the roles that agent operations actually needs — and the market is short of all four.

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Agent operations analysts

The people who watch the estate, triage alerts and keep the inventory true.

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AI platform engineers

Control-plane implementation, integration and the plumbing that makes governance automatic.

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AI security engineers

Adversarial testing, prompt-injection defence and supply-chain review for agent components.

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AI governance leads

Evidence, standards mapping and the forum that turns findings into decisions.

Connect with our Healthcare Digital Experts

DJ Website ImageB 1

DJ Basumatari

Chief Executive Officer

Abhishekh Jain BW

Abhishek Jain

Director - Solutions & Innovation

Frequently Asked Questions

It is the work of running AI agents safely once they are in production — knowing which ones exist, who owns them, what they are allowed to do, what they cost, and being able to prove all of it. Building an agent is a project. Running a growing number of them is an operation, and it is the part most businesses have not staffed.

We look where they actually live: agent platforms and control planes, cloud and model-provider billing, identity systems, code repositories, integration and automation tools, and conversations with the teams who built them. Billing and identity are usually the most revealing, because an agent can escape a register but it cannot escape a bill or a credential.

No, and no consultancy honestly can — certification is issued by an accredited certification body. What we do is build the controls and maintain the evidence that makes certification survivable, and map your position against the standard so you know exactly where you stand before an auditor tells you.

Often more, not less. A control plane is a dashboard, and a dashboard nobody watches is not a control. We implement the platform properly, staff it, and answer for what it shows. We are neutral about which platform — including one you have already chosen.

Mid-market businesses with AI agents already in production, typically where deployment has outpaced the process for managing it. It matters most where agents touch money, customers or regulated decisions — commerce, financial services, healthcare — and where operations run across several platforms rather than one.

With the Agent Readiness Audit. Four to six weeks, fixed scope, agreed up front. You get an inventory, a score across ten domains, a radar and a prioritised plan. Then you decide whether to fix it yourself or have us run it. There is no obligation to continue, and the work product is yours either way.

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