Module 06 · Architecting for AI

Simplifying Integrations With Agents

Agents are changing what integrations are for. This module resets our point of view - what we keep building, what we stop building, and how we tell customers.

Integrations consultants (core) ~30 minutes Tier 3 · Capable HCM, CS & architects (awareness)
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Welcome

Integrations have been the connective tissue of every Workday programme we have ever delivered. That does not stop being true - but the shape of the work is changing. Agents are absorbing a meaningful slice of what customers used to ask us to integrate.

This module is for the people closest to that shift. It sets out where agents legitimately remove integration need, where they do not, and how to have the honest conversation with a customer who is mid-programme and starting to wonder whether they still need what they signed for.

Learning objectives

01
Read the shift
Explain why the classical integration paradigm exists and what agents are now changing about it.
02
Draw the line
Identify, by pattern, which integrations agents reduce and which remain essential.
03
Re-scope in flight
Know what to drop, keep and add when revisiting a live SOW or pipeline opportunity.
04
Lead the conversation
Handle the customer conversation honestly - without talking yourself out of the engagement.

The integration paradigm today

For twenty years we have been solving the same problem three ways. Each pattern exists for a reason. Each also carries cost the customer has learned to accept as normal.

1

Point-to-point

Bespoke pipes between Workday and a named downstream - payroll provider, benefits carrier, ticketing tool. Fast to deliver, expensive to own.

2

Scheduled batch

Nightly or hourly extracts feeding data warehouses, BI platforms and operational reports. Reliable, but always a step behind the business.

3

Custom middleware

An iPaaS or bespoke layer brokering between Workday and a landscape of systems. Flexible, but another platform to run, patch and pay for.

These patterns were necessary because Workday could not answer the question the downstream system needed to ask, and the downstream system could not ask Workday directly. So we moved data. A lot of data. Most of it read-only, most of it consumed by a human in another tool, most of it stale by the time it was read.

Honest observation

A sizeable fraction of the integrations we have built exist to get Workday data in front of a person who could not or would not log in to Workday. That premise is the one agents most directly challenge.

Where agents reduce integration need

Not every integration. Specific patterns. The common thread: the integration exists to deliver Workday information or light workflow to a human, and an agent can now do that job inside Workday's trust boundary without the pipe.

Read-only self-service
Conversational
The Self-Service agent answers "what's my balance, my manager, my policy" directly in Workday. The integrations that pushed those same fields into intranets, chat bots and portals become harder to justify.
Case & ticket routing
AI-driven triage
AI-driven case management classifies, routes and often resolves tier-1 queries in place. Integrations that pushed HR tickets into a separate ITSM tool for triage lose their reason to exist.
Bespoke BI pipelines
Insight agents
Insight and reporting agents answer natural-language questions over Workday data. The nightly extract feeding a dashboard that three people open on a Monday may not need to exist any more.
Manager "composite" views
Agent surface
Integrations that assembled employee, learning and performance data into a manager portal are a candidate for replacement by an agent that composes the same view on demand.
Light workflow chatter
Conversational
Where an integration existed only to prompt a user in Slack or Teams to then go and do a thing in Workday, a conversational agent can do the thing in Workday directly.
FAQ and policy lookups
Conversational
Pipes into external knowledge bases, policy stores and intranets - often built "because the bot needs context" - become redundant when the agent can ground in tenant content itself.

The test is simple. If the integration's real customer is a human who wants an answer, an action or a summary, an agent is a credible replacement. If the integration's customer is another system, it isn't.

Where integrations remain essential

Be clear with customers, and be clear with yourself. The following categories do not go away. They are the backbone of a running enterprise and agents are not a replacement for any of them.

Core masters of record

Worker, organisation, position, cost centre flowing to downstream systems of record. If another system needs the authoritative value to operate, you still need the integration.

Regulatory & statutory reporting

Payroll submissions, tax filings, pension and benefits providers, statutory returns. These are contracts with external bodies on defined schedules and formats. Agents do not replace them.

Finance postings

GL journals, accounts payable flows, subledger-to-ledger movement, intercompany. The books have to balance; the integration has to be deterministic and auditable.

Identity & access lifecycle

Joiner, mover, leaver events into IdP, directory, entitlement systems. Latency, completeness and auditability matter more than elegance. Keep the pipe.

High-volume transactional flows

Time, absence, expense and payroll transactions between Workday and operational systems at scale. Agents do not move millions of rows - integrations do.

Inbound systems of record

Recruitment applicant flows, learning completions, external HRIS sources during M&A. If Workday needs the authoritative record, you need the inbound integration.

When in doubt, ask: is the customer of this integration a human, or another system? Human → agent is in scope. System → integration stays.

Quick check. A customer's HRBP team runs a nightly extract that feeds an intranet "my team" page managers open a handful of times a week. Which frame applies?

How to re-scope a live SOW or pipeline

The uncomfortable reality is that some of what is in our SOWs today should not be delivered as written. It is better we raise that than a customer steering committee does three months in. Use a simple three-column frame.

Drop

Read-only integrations to portals and intranets; bespoke BI extracts with low-frequency consumption; HR-ticket bridges into ITSM; "manager dashboard" pipelines; chat-bot knowledge pipes. Replace with the equivalent agent.

Keep

Payroll, finance postings, identity lifecycle, regulatory feeds, high-volume transactional flows, inbound systems of record. Deliver to the standard the customer originally bought.

Add

Managed agent enablement: configuration, guardrails, adoption, measurement. If we are removing an integration because an agent now does the job, we are accountable for the agent landing well.

A worked example - HR service-desk integration

Original scope: bi-directional integration between Workday and the customer's ITSM tool so HR tickets could be triaged, routed and resolved outside Workday. 40 days of integration build, 20 days of run.

Re-scoped: deploy the Case agent inside Workday to triage and resolve tier-1. Retain a minimal outbound integration for the residual tickets that genuinely belong to the ITSM team (tier-2+ and cross-function). Add 15 days of managed adoption to land the agent with HR operations, measure deflection, and refine response templates.

Net: the customer spends roughly the same money, solves the same problem better, and ends with less integration estate to run next year. We spend ours on adoption, which is where the outcome actually lives.

The customer conversation

Picture a customer twelve weeks into an integration programme. Their CIO has just been to a Workday event. They come back and ask the awkward question: "Do we still need half of what we're building?"

Answer honestly. The worst outcome is that we deliver scope we quietly knew was no longer needed, and they discover it six months later. That damages the relationship for a decade.

How the conversation goes

  • Acknowledge the shift. Yes, agents change the picture. Do not pretend otherwise.
  • Separate the portfolio. Walk the customer through their current integration list and mark each one: human-consumer (candidate to drop or replace), system-consumer (stays).
  • Offer a re-scope, not a re-sell. Bring a concrete drop / keep / add to the next steering committee. Do not open up the SOW without one.
  • Be clear on value, not just cost. This is not a discount conversation. It is a better-outcome conversation. Adoption is the deliverable; integrations are a means.
  • Hold the line on what stays. Regulatory and finance flows are not candidates for debate. Say so.
Watch out for

Customers who want to use "agents replace integrations" as a cost-saving narrative without the adoption investment. That ends with an agent nobody uses and an integration they turned off too early. Our job is to make sure both halves of the trade are done properly.

Commercial implications for Kainos

Let's be direct. Fewer bespoke integrations sounds like a smaller services pie. It isn't. It is a different pie, and the slice we should be eating is larger, not smaller - if we move our centre of gravity.

What reduces

Build-and-run days on the integration patterns agents absorb - portal feeds, light BI extracts, ticket bridges, chat-bot data pipes. Expect this line to soften over the next 18-24 months.

What grows

Agent enablement, configuration and adaptation. Change management and adoption. Data-readiness work so agents can ground well. Managed services around the agents we have helped land.

What stays

The essential integrations. Core tenant deployments. Flex-credit architecture conversations. The bespoke build work where Use and Adapt don't fit and Build genuinely does.

What we should say

Internally: this is a shift in shape, not volume. Externally: Kainos reduces what you don't need and is accountable for landing what you do. That is a better story than "we'll integrate anything."

This is what Use, Adapt, or Build looks like in the integrations lane. Use the agent when it covers the job. Adapt configuration and adoption around it. Build the integration where the job is system-to-system, regulated, or transactional at scale. The Kainos AI Navigator is our way of making that call consistently.

Check your understanding

Three questions. Each explains why every answer is right or wrong - the reasoning matters more than the score.

1. A customer's integration list has four items on it. Which one is the strongest candidate to retire in favour of an agent?
2. A CIO calls mid-programme and says "we think agents mean we can drop our payroll-provider integration." How should you answer?
3. You're mid-delivery on a SOW that includes a ticket-routing integration the Case agent would now absorb. What's the right move?

Next steps

  • Architects: Module 5 - Flex credits & AI architecture. Agents and integrations sit inside the same architecture conversation; do not have one without the other.
  • Customer-facing & delivery: Module 8 - Adoption playbook. If we are removing an integration because an agent does the job, adoption is the deliverable that makes it true.
  • Integrations consultants: Module 11 - When to build. The sharper your Use / Adapt / Build instinct, the better your re-scope conversations.

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