The Japan Times - Solving Agent Sprawl: The Case for Enterprise Orchestration

EUR -
AED 4.095102
AFN 72.480008
ALL 90.801688
AMD 402.807486
ANG 1.995737
AOA 1023.635334
ARS 1721.721299
AUD 1.61933
AWG 2.007127
AZN 1.900047
BAM 1.955836
BBD 2.250342
BDT 139.162586
BGN 1.948955
BHD 0.422108
BIF 3342.96213
BMD 1.115071
BND 1.431727
BOB 13.402249
BRL 6.138357
BSD 1.117321
BTN 104.873949
BWP 15.391286
BYN 3.345962
BYR 21855.38619
BZD 2.247142
CAD 1.573644
CDF 2586.964483
CHF 0.914162
CLF 0.027822
CLP 1094.980351
CNY 7.444774
CNH 7.438418
COP 3608.76707
CRC 506.709417
CUC 1.115071
CUP 26.815498
CVE 110.267049
CZK 24.346956
DJF 198.963698
DKK 7.480457
DOP 67.891262
DZD 151.940824
EGP 59.957114
ERN 16.726061
ETB 183.378708
FJD 2.526309
FKP 0.833961
GBP 0.834166
GEL 2.893653
GGP 0.833961
GHS 13.055243
GIP 0.833961
GMD 83.077063
GNF 9896.183924
GTQ 8.538159
GYD 234.234353
HKD 8.744429
HNL 30.029558
HRK 7.547925
HTG 146.432722
HUF 363.51345
IDR 20192.258205
ILS 3.552538
IMP 0.833961
INR 104.716854
IQD 1693.83148
IRR 2108992.359359
ISK 136.919964
JEP 0.833961
JMD 177.323296
JOD 0.790629
JPY 176.710877
KES 145.192698
KGS 97.510486
KHR 4552.084602
KMF 492.86165
KPW 1003.563608
KRW 1520.737678
KWD 0.346765
KYD 0.931217
KZT 500.809308
LAK 25136.46717
LBP 100053.859534
LKR 371.556906
LRD 189.94353
LSL 18.477643
LTL 3.292514
LVL 0.674496
LYD 7.150133
MAD 10.921803
MDL 19.971371
MGA 5077.094359
MKD 61.556144
MMK 2341.311039
MNT 4015.078679
MOP 9.019368
MRU 45.108838
MUR 52.442198
MVR 17.176258
MWK 1937.436008
MXN 20.766565
MYR 4.528864
MZN 71.257178
NAD 18.477643
NGN 1502.23485
NIO 41.120764
NOK 10.548462
NPR 167.798119
NZD 2.015128
OMR 0.428348
PAB 1.117421
PEN 3.848972
PGK 5.092095
PHP 70.369926
PKR 309.016043
PLN 4.399568
PYG 6984.129802
QAR 4.084276
RON 5.343646
RSD 117.622186
RUB 91.352798
RWF 1649.13065
SAR 4.188587
SBD 8.974739
SCR 15.358485
SDG 670.719139
SEK 11.033072
SGD 1.430306
SHP 0.835103
SLE 25.591287
SLL 23382.48045
SOS 638.511867
SRD 41.908265
STD 23079.712667
STN 24.500455
SVC 9.776182
SYP 14498.149201
SZL 18.471343
THB 37.411034
TJS 10.307092
TMT 3.902748
TND 3.343362
TOP 2.684822
TRY 55.9111
TTD 7.577141
TWD 36.546782
TZS 2952.454872
UAH 50.616941
UGX 4570.084937
USD 1.115071
UYU 44.950835
UZS 13332.247784
VES 999.456181
VND 28526.296796
VUV 133.25575
WST 3.108617
XAF 655.957
XAG 0.021465
XAU 0.000274244363
XCD 3.013535
XCG 2.013637
XDR 0.788413
XOF 655.957
XPF 119.331742
YER 263.853652
ZAR 18.420333
ZMK 10036.978597
ZMW 22.703422
ZWL 359.052318
SSP 6406.644798
MXV 2.33632
  • RYCEF

    0.1000

    19.81

    +0.5%

  • VOD

    -0.2500

    16.33

    -1.53%

  • CMSC

    -0.2800

    20.12

    -1.39%

  • RBGPF

    -2.0000

    65

    -3.08%

  • RIO

    -0.2500

    94.16

    -0.27%

  • BTI

    -1.2000

    54.85

    -2.19%

  • NGG

    -0.3000

    74.94

    -0.4%

  • GSK

    -0.3500

    49.35

    -0.71%

  • BCE

    -0.4200

    20.14

    -2.09%

  • CMSD

    -0.3400

    19.93

    -1.71%

  • BP

    -0.9100

    43.52

    -2.09%

  • RELX

    0.1700

    33.24

    +0.51%

  • BCC

    -0.6200

    75.97

    -0.82%

  • AZN

    -1.9400

    164.21

    -1.18%

  • JRI

    0.0000

    10.77

    0%

Solving Agent Sprawl: The Case for Enterprise Orchestration
Solving Agent Sprawl: The Case for Enterprise Orchestration

Solving Agent Sprawl: The Case for Enterprise Orchestration

Derek Thompson, Workato’s VP of EMEA, warns that uncoordinated AI agent deployment is creating enterprise-wide fragmentation similar to past SaaS sprawl. He argues that without a central orchestration layer to enforce governance and security, organizations risk failing to realize return on investment from their AI initiatives.

Text size:

Derek Thompson, vice president of EMEA at Workato, argues that enterprises are currently repeating the mistakes of the SaaS era by allowing uncoordinated artificial intelligence agent deployment to proliferate across departments. This phenomenon, termed "agent sprawl," occurs when different business units independently build and deploy AI tools on varying models with disparate governance rules, often disconnecting them from core business workflows.

While previous waves of software expansion caught organizations off guard, Thompson contends that the current landscape leaves no excuse for inaction. Most companies are currently building agents in isolation, prioritizing local productivity gains over enterprise-wide value. This fragmentation creates a familiar pattern of inefficiency where sales teams deploy CRM-based assistants, developers utilize separate coding agents, and marketing adopts distinct content generation tools. Each unit achieves isolated success, but the lack of alignment prevents these efforts from contributing to broader organizational goals.

The consequences of this siloed approach are multifaceted. Without a single owner responsible for monitoring deployment, governance and oversight remain weak. Security risks escalate as agents gain access to sensitive systems without consistent controls. Furthermore, teams often unknowingly duplicate efforts, solving identical problems with different tools. Because many agents are deployed without clear links to business outcomes, it becomes difficult to measure return on investment or distinguish meaningful innovation from mere experimentation.

Thompson describes the current state of AI adoption as delivering "far more style than substance." He notes that while AI tools may be exciting, they frequently fail to deliver tangible value if they are not connected to core business processes. Some parts of a business may not require AI technology at all, yet continue to invest in it without seeing benefits comparable to other departments.

To address this, Thompson advocates for an orchestration layer that funnels every agent through the same governance and security standards. This layer provides visibility into existing tools and enterprise workflows, outlining which agents are available and how they operate. Crucially, it controls how these agents access data, tools, and existing technology, turning experimental agents into scalable business infrastructure.

Orchestration serves as a trust layer, ensuring every agent operates within clearly defined boundaries with consistent oversight. By centralizing control while still enabling innovation across different functions, organizations can shift from trusting individual agents to trusting the system that governs them. This approach filters out unnecessary agents, saving money and ensuring only high-value tools reach production.

Thompson predicts that as agents become embedded across every function, orchestration will shift from a technical layer to a core enterprise capability. He asserts that the winners in this new landscape will be those who can control, connect, and trust their agents at scale. The challenge now is not whether sprawl will occur, but how organizations can effectively manage it to ensure security, scalability, and simplicity in an agent-powered future.

K.Hashimoto--JT